AI GTM Engineer

🏢 Summary: Full-time Engineering Team Lead role focused on leading and contributing hands-on to the development of onboarding and engagement features within a trading platform, with strong emphasis on React/React Native, production reliability, and AI-assisted development. The position combines technical leadership, end-to-end feature delivery, and ownership of performance and quality in a customer-facing fintech environment. Hybrid work model with on-call responsibilities. 🗂️ Requirements: Extensive software engineering experience with proven technical delivery, Strong Frontend expertise in React and React Native, Experience building and operating production systems, Experience with AI-assisted development tools, Ability to lead and mentor engineers, Commitment to TDD, code reviews and testing practices, Willingness to participate in on-call rotation, Strong English communication skills 📃 Skills: React, ReactNative, JavaScript, TypeScript, TDD, AI, Git, CI/CD, Testing, Observability 🏢 Description: Job Description Minimum compensation: starting from 26 750 PLN. The final offer will be determined based on the candidate's experience and competencies. So, who are we? Hello, we're IG Group. We are a FTSE100 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Your team The Lifecycle team is a product-aligned, customer-first engineering team owning onboarding, activation, and engagement experiences across IG's platform. We build and support the critical first-mile customer journey and ongoing engagement features - with an obsessive focus on reducing friction, improving conversion, and driving engineering excellence to ensure our systems are reliable, performant, and easy to change. Your role in the Team's Success Your primary responsibility will be to lead a small, high-performing engineering team – combining hands-on technical excellence with day-to-day leadership. You'll set technical direction for your domain, drive delivery of business-critical features, and ensure your team operates with an ownership mindset. You'll work as a hands-on practitioner who leads by example, spending significant time writing code while coaching others to grow into independent, self-sufficient engineers. You'll leverage AI-assisted development tools as a core part of your workflow — we expect engineering leaders to actively embrace AI to multiply their team's impact. Think and act like an owner – your leadership directly impacts our customers’ ability to achieve their financial goals. What you'll do Lead end-to-end delivery of features within your domain – from technical design through to production – taking accountability for performance, reliability, and business outcomes Stay hands-on with code, demonstrating high-quality engineering that embodies what a world-class engineer should be – your team learns from your example Coach and develop team members to become independent, self-sufficient engineers – everyone on your team should aspire to grow and operate autonomously Drive technical excellence and raise the bar across your team – set and enforce high standards for code quality, testing, observability, and documentation Partner with Product, Design and stakeholders to translate business requirements into technical solutions that champion the client and deliver real commercial value one iteration at a time Identify and escalate risks early, remove delivery blockers, and ensure your team delivers at pace without compromising quality Think big – proactively identify opportunities to improve systems, reduce complexity, and challenge the status quo rather than just maintaining things as they are Leverage AI-assisted development tools to accelerate your team's delivery, improve code quality, and stay at the cutting edge of modern engineering practices You'll need to be willing to commit to an on-call support rota - on-call time is compensated (This is a Full Time employment contract, not B2B) What you'll need for this role For this role, we're looking for someone with: Extensive software engineering experience with a strong track record of technical delivery and informal leadership – you've been the go-to person others turn to for guidance Deep expertise in your core technology stack, particularly Front End expertise in React/React Native – you know when to use the right tool and how to make it sing Battle-tested experience building and operating production systems – you've been on-call when something breaks at night and lived to tell the tale Demonstrated ability to mentor and develop other engineers – you get genuine satisfaction from helping others grow Experience with AI-assisted development tools is expected – we're looking for technical leaders who see AI as a force multiplier, not a threat Whilst a Bachelor's degree in Computer Science, Engineering would be useful, we value real world practical experience. If you’re an excellent engineering leader then do apply! An ownership mindset that borders on obsessive – you treat every system with care and a focus on the best customer experience possible in terms of speed, reliability, intuitiveness and functionality, and you hold others to the same standard An AI-positive mindset – you see AI tools as amplifiers of engineering capability, not replacements, and you're excited to push the boundaries for you and your team of what's possible with AI-assisted development Strong commitment to engineering excellence: TDD, pairing, code reviews, and continuous improvement are how you operate, not boxes you tick Strong English-language communication skills and the ability to work effectively in globally distributed, cross-functional teams – you can explain complex technical concepts simply Keen interest in ongoing learning, both business and technical – you'll gain deep understanding of IG's trading products and financial markets, and share this knowledge with others Familiarity with financial services or trading platforms is highly desirable but not essential — curiosity and learning ability matter more Willingness to participate in on-call rotation — because you build it, you run it, you love it This is a hybrid position (3 days onsite, 2 days remote work) How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth; Raise the bar: Take ownership, be accountable and share feedback We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here . The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Flexible working hours & hybrid working Home office equipment reimbursement Performance-related bonus Private medical cover for you and your family/partner (Medicover) Multikafeteria system (you can choose a multisport card, vouchers, etc.) Life insurance (Generali) Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organizing events & projects that foster an open, diverse, and inclusive culture Career-focused technical and leadership training in-class and online, incl. unlimited access to the LinkedIn Learning platform Well-being events as well as Employee Assistance Programme Summer picnic, New Year party and other social events 3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work Learn more about the Perks here ! Join us for this exciting journey. Apply now!

🏢 Summary: Senior QA Engineer role focused on ensuring quality across multiple green‑field web, mobile, and SaaS products while co‑building an AI‑native development system. The position emphasizes advanced test strategy design, automation with modern frameworks, and integration of AI tools to accelerate testing processes. You will own the full QA lifecycle in a remote, cross‑functional, international environment. 🗂️ Requirements: Deep experience in manual and automated testing for production web and mobile applications, Proficiency in Playwright, Cypress, Selenium, Experience with modern test automation frameworks (Jest, Mocha, TestNG), Experience testing REST and GraphQL APIs, Experience in mobile app testing (iOS, Android), Ability to design test strategies, regression and performance testing, Experience with CI/CD integration and test automation pipelines, Experience with API testing and performance testing tools, Knowledge of version control systems, Experience working with distributed remote teams, Fluent English 📃 Skills: Playwright, Cypress, Selenium, Jest, Mocha, TestNG, REST, GraphQL, Postman, RESTAssured, Newman, JMeter, k6, Appium, Detox, XCUITest, Espresso, Git, Jira, AzureDevOps, Claude, CI/CD 🏢 Description: Ready to ensure flawless user experiences with AI at your side? We're assembling an AI‑enhanced product‑delivery team in Poland in partnership with Rimthan Corporate Venture Builder (Riyadh, Saudi Arabia) . If you love comprehensive testing strategies, automation frameworks like Playwright & Cypress , and experimenting with cutting‑edge AI dev tools like Claude Code , let's talk! The Opportunity Join us as a Senior QA Engineer and help ensure the quality of multiple green‑field products - from marketplace platforms to internal SaaS - while co‑building our in‑house AI‑native development system . You'll: Test smarter, ship faster with Claude Code, AI‑powered test generation, and whatever ingenious tools you suggest. Design & execute comprehensive test strategies covering web apps, mobile applications, and API integrations. Build & maintain automated test suites using Playwright, Cypress, and modern testing frameworks. Develop our AI‑native platform for developers - your feedback and features go straight into the product roadmap. Collaborate remotely with developers, designers, PMs, and engineers across Poland and Saudi Arabia on several ventures at once. Own the quality lifecycle : test planning, execution, automation, performance testing, and continuous integration. Champion best practices in test automation, quality assurance processes, and modern testing workflows. Why You'll Love Working with Us AI at the Core - We're not just using AI; we're building AI tools that make QA teams 10× more productive - and you'll be a key contributor. Remote‑First Freedom - Work anywhere in Europe. Flexible hours and a supportive culture focused on outcomes, not clock‑watching. Startup Energy + Venture‑Studio Stability - Tackle new ideas every quarter with the backing of an established venture builder. Competitive B2B Compensation - 16 000-22 000 PLN / month (depending on experience). Continuous Growth - Access to conferences, QA workshops, AI testing seminars, and internal hackathons to keep your skills razor‑sharp. Friendly, Multicultural Team – Collaborate daily with passionate engineers and product folks who love quality code, good memes, and sharing knowledge. You Might Be a Good Fit If You… Have deep experience in both manual and automated testing for production web and mobile applications. Are fluent with Playwright, Cypress, Selenium, and modern test automation frameworks (Jest, Mocha, TestNG). Have extensive experience testing mobile apps (iOS/Android), web applications, and REST/GraphQL APIs. Have already experimented with Claude Code or other AI pair‑programming tools for test creation and maintenance. Master test strategy design , exploratory testing, regression testing, and performance testing methodologies. Communicate confidently in English (Polish is a bonus - many teammates are Polish). Thrive in fast‑paced, ambiguous environments where you switch between projects and wear many hats. Have proven experience working with remote, distributed teams across different time zones. Believe in quality craftsmanship - CI/CD integration, test data management, and comprehensive test documentation are second nature. Experience with API testing tools (Postman, REST Assured, Newman) and performance testing (JMeter, k6). Knowledge of mobile testing frameworks (Appium, Detox, XCUITest, Espresso) and device testing strategies. Understanding of agile methodologies , bug tracking systems (Jira, Azure DevOps), and version control (Git). About Our Partnership Rimthan Corporate Venture Builder launches and scales digital ventures across the Middle East. We're their dedicated Polish delivery powerhouse , bringing European engineering excellence to a global portfolio of disruptive products. Together, we combine startup agility with enterprise‑grade resources - so your testing ensures real users get flawless experiences. Sound like your kind of challenge? Hit "Apply" and let's build AI‑powered quality assurance processes the world hasn't seen yet!

🏢 Summary: Fullstack GTM Engineer role focused on tracking, attribution, marketing automation, and fullstack experimentation for a video marketing SaaS platform. The position works closely with marketing, BI, and leadership teams to build and maintain attribution systems, backend integrations, AI-assisted workflows, and GTM tooling. Candidates should combine strong engineering skills with hands-on marketing technology and analytics experience. 🗂️ Requirements: Fullstack engineering experience, Experience with web attribution practices, Professional experience with AI coding tools, Knowledge of page speed analysis tools, Experience with n8n, Zapier or similar automation tools, Experience with marketing funnels and Google Tag Manager, Experience with Meta CAPI and Google Ads, Strong JavaScript skills, Backend development fundamentals, Experience integrating third-party tools, Excellent written and verbal English, Ability to work independently with vague specifications, Experience aligning frontend, backend, and external system data, SQL experience, Strong overlap with Eastern US timezone 📃 Skills: JavaScript, SQL, React, Webflow, Vercel, PHP, Go, Node.js, GCP, PostHog, MixPanel, GTM, HubSpot, Intercom, BigQuery, MySQL, Grafana, Zapier, n8n, Typeform, Calendly, Stripe, Chargify, Claude, Codex, ChatGPT, Midjourney, Perplexity 🏢 Description: Be a Key Member of the GTM Team at a Video Marketing SaaS that is Powering 10,000s Entrepreneurs’ Businesses This is not a typical product engineering role, rather you’re gonna be the key technical person, as a fullstack engineer who gets marketing, for the GTM teams @ Vidalytics. Reporting to the CEO who owns these functions. LFG! You’ll own tracking, attribution, and all things technical for the marketing and revenue teams. You will get a crash in marketing, revenue generation, as we’re on the bleeding edge in these regards in many ways. These teams move fast, are very data driven and you’d be supported by the larger engineering team, the director of engineering, the director of business intelligence, and other folks from cross-departmental teams. We’re Vidalytics.com . A video marketing platform that helps entrepreneurs scale their businesses in the face of bigger, better-funded competitors. We do this with the advanced tools in our video marketing & hosting platform. We’re 9 years old 🎂 and growing at a sustainable pace each year. And you’re going to be a part of the team that will add a few zeros to that growth rate. What You’ll Be Doing (Job Tasks) 😃 Own, implement and deploy tracking and attribution across our customer journeys  (Webflow, Vercel, JS snippets), backend, and marketing automations Help marketers get vibe coded projects over the finish line, such as landing pages and small apps creation through Claude Code, Codex, etc. Work closely with the CEO (who doubles as our CMO and Chief Revenue Officer) and our Director of Business Intelligence to super charge GTM data insights Translate vague or loosely defined ideas into concrete, scoped tracking implementations Build & deploy fullstack steaks to our web app for GTM tests and tweaks we’re testing. Help the marketing team go AI Native, be more technical and self-sufficient. Add backend hooks and logic to capture events and customer actions server-side. Help maintain attribution integrity across touchpoints, including CRM and ad platforms Help deploy server side split tests . (Nice-to-have) Write SQL queries to explore data and build funnel or campaign dashboards Requirements 😃 Fullstack engineer who gets marketing Experience with web attribution practices Professional experience with AI tools such as Claude Code, Codex, Loveable, Figma Weavy, etc. Know your way around page speed analysis tools to squeeze out every ms of latency Experience with n8n, Zapier or similar low-code automation tools Experience with marketing funnels, ideally Direct Response as well as Google Tag Manager, Meta CAPI, Google Ads, etc. Solid JavaScript skills, especially in-browser tracking and event handling Backend fundamentals: you can hook into backend logic and write some code Ability to wrangle 3rd party tools like Typeform, Calendly, Webflow, etc. Excellent written and verbal English communication Strong sense of ownership and ability to work independently with vague or partial specs Comfortable aligning data between frontend, backend, and external systems like HubSpot and Intercom SQL experience for ad-hoc queries and funnel validation Your working hours need to have a strong overload w/ Eastern US time zone. Can discuss further. Nice-to-have 😃 PostHoq & HogQL experience (this is the center of our attribution) Dashboarding/ visualization experience with Grafana Familiarity with MixPanel or similar product analytics tools Basic familiarity with GCP services Exposure to Video Marketing Experience with Meta's Conversion API Gateway and Signals Gateway Knowing your way around the odd reverse proxy setup (for maximizing accuracy through maintaining 1st party tracking infrastructure) GDPR, HIPPA and other regulation knowledge Our Tech & Tooling Stack 🛠 Frontend : Webflow, React SPA App, custom / Claude Code / Lovable Backend : GCP, PHP 8, Go, Node.js Tracking & Attribution : Posthog, MixPanel, GTM, Meta Pixel/CAPI, Google Ads, custom CRM & Automation : HubSpot, Intercom, Chargify, Stripe Data & Analytics : BigQuery, MySQL, Grafana, MixPanel, PostHog (for marketing analytics only) Widgets : Typeform, Calendly AI: Claude, Loveable, Figma Weavy, Midjourney, Perplexity, ChatGPT, Vercel… Who You Are (Personality Type) 🦁 You’re a translator between marketing and code: you ask the right questions, fill in gaps, and get things done. Biased toward shipping fast. You deliver in small, valuable chunks. Breaking down ambiguous requests? Easy. You enjoy untangling marketing noise into technical tasks. Self-organized and proactive. You don’t wait for instructions, you move. Clear communicator. You explain technical ideas well – written and verbal. You measure twice, cut once. Getting it First-Time-Right is your default. Direct and constructive. You give and receive honest feedback with care and clarity. What You’ll Love About Us (Benefits and Perks) 😉 High performance company culture. You won’t be a cog in a machine. Rather you’ll be a key member of a high performance team that is getting shit done. This is a place to grow and realize your potential, no matter what level you’re at in your career. No office politics. We’re small and flat. There is no bullshit of trying to dance around sensitive topics. Divert resources from other division’s projects. We’re direct, we’re honest, we’re here to accomplish big audacious goals. We value your ideas . At Vidalytics, my door is always open. Need help? Let’s talk! Have a vision for the future of the company? I want to hear it! Think I suck at my job? Help me grow! Rest and relaxation . Employees get 20 days of PTO. Professional development . Want to continue your education? Vidalytics pays for classes, conferences, and more. You’re more than an employee , you’re a person. Every co-worker you’ll meet is committed to treating you with respect and kindness. You won’t hear stuff like, “It’s just business.” This is a resume-making position , where you’ll learn a lot and have a lot of responsibility. You don’t have to wait for someone to die or retire to move up, like in a mega-corp. Entrepreneurial to our core – Not only are we a startup, but we need intrapreneurs that will help us scale, and we’re looking to start other sister corps in time to form a portfolio of companies, which you could be a co-founder of. Vidalytics’ Values (Yes, We’re Actually Serious About These) 😇 Play to Win – We’re competitors. We do what it takes to win. This means that we will fail, we will lose, but we want to do these things fast… because winning only comes after trial and error. Default paves the way to success. Or…  winning is on the other side of mistakes. Scrappy – We’re a startup, it’s chaotic. This isn’t the government. You need to be able to learn fast, move fast and handle it. You need to be able to survive in a scrappy entrepreneur environment. This means often you need to figure it out but yet also not wander in the desert. We will be there with you, but if you want an easy job, go work at the government. Meritocracy – The best idea wins, not who it comes from… This means you can be direct & transparent with anyone. Test your ideas starting with analysis, form hypotheses, test small, measure results, iterate, and scale big with data. We can’t have perfect data. So when a decision is made, get on board. Own Yourself – We do what we say, and own what we’ve done. Mistakes happen. But the worst thing that can happen is when someone doesn’t own and learn from them. You trust us. We trust you. Self Actualization – This is a place for hyper learning. We want to scale. You need to scale with us, this doesn't always mean climbing some ladder, but upleveling skill – closing gaps, growing and being self actualized. Conscious Teamwork – No politics. No bullshit. Rather integrity, emotional intelligence, transparency and curiosity. Attack ideas, not people. Cheers, 👨🏻‍🦲 Patrick Stiles CEO @ Vidalytics

🏢 Summary: Senior or Staff Product Engineer role focused on building and shipping intuitive, high-performance end-to-end web product experiences in an AI-native accounting platform. The position involves owning full-stack feature delivery from UI to server-side logic, collaborating directly with leadership and design, and setting engineering best practices. The role requires strong frontend expertise, cloud infrastructure knowledge, and hands-on work with modern AI tooling. 🗂️ Requirements: 5+ years of full-stack product engineering experience, Proven experience building and shipping production web applications, Strong practical experience with React and TypeScript, Experience designing and working with AWS or GCP cloud infrastructure, Ability to design and implement scalable server-side logic, Experience delivering end-to-end features from frontend to backend, Ability to work on-site 4–5 days per week in Wrocław 📃 Skills: TypeScript, React, Node.js, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, GitHub, Figma, LLM 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Product Engineer with a strong track record of building intuitive, performant end-to-end product experiences. The defining quality of this role is craft — you care deeply about how things feel to use, and you're energised by the opportunity to make software feel like magic because AI is doing real work behind the scenes. You'll work directly with the CEO, Operations, AI, and Design teams to scope and ship user-facing features. There's no product manager layer here — you'll engage directly with users, iterate quickly, and own the quality of what you deliver from UI through to server-side logic. WHAT YOU'LL WORK ON End-to-end feature delivery Work directly with the CEO, Operations, AI, and Design teams to scope and ship polished, scalable user-facing features with beautiful UI components and robust server-side logic. Engineering best practices Redefine what best-in-class software development looks like for the team. You'll set the standard, not follow it. Technology evaluation Continuously research and evaluate new technologies to improve the speed, scalability, and performance of the product. Bring recommendations and drive adoption. User-focused iteration Engage directly with users to understand how the product is being used, iterate quickly, and deliver experiences that feel genuinely polished — not just functional. WHAT WE LOOK FOR 5+ years of full-stack product engineering A strong track record building and shipping full-stack production web applications that real users depend on. Modern frontend fluency Deep practical experience with React and TypeScript. You write frontend code that is fast, accessible, and maintainable — and you have an eye for detail in UI. Cloud infrastructure experience Familiarity with AWS or GCP architecture and design patterns, and an understanding of how infrastructure choices affect product performance and reliability. Strong communication Clear written and verbal communication. You can articulate trade-offs, give and receive direct feedback, and work well without a lot of process around you. Bonus Experience as a founder or early founding team member. Familiarity with modern LLM tooling and AI-assisted development (Cursor, Claude Code, etc). Background in finance or accounting. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Senior full-stack product engineering role focused on building and owning AI-native web product experiences end-to-end across frontend and backend. The position involves shipping production-ready features, designing APIs and data flows, improving usability and reliability, and using AI tools daily in a fast-growing engineering environment. The role is office-based in Warsaw and offers strong ownership, modern tooling, and participation in AI-powered product development. 🗂️ Requirements: Senior-level experience shipping production web products, Strong React skills, Strong TypeScript skills, Backend API design and implementation experience, Experience building backend logic and data flows, Ability to work across frontend and backend, Security-conscious engineering approach, Experience collaborating with product and design teams, Daily use of AI tools in engineering workflows, Clear technical communication 📃 Skills: React, TypeScript, Python, Node.js, APIs, AI, Codex, Claude, GitHub, Copilot 🏢 Description: About Shelf The enterprise is going agentic and we are creating a unique operating system for an automated future. Most AI agents break the moment they hit real business complexity. That’s why we built a platform that models a company's policies, workflows, and operational logic into an AI Data Model. Shelf enables AI Agents to reliably reason and deliver precise and reliable outcomes at scale. We already have what most AI startups are still trying to earn: Enterprise customers such as Glovo, Nespresso, and HelloFresh, real production data, and tens of thousands of users. Customers trust us with operational knowledge: Our platform is highly reliable and secure with SOC2, HIPAA-ready security practices, and mature integrations in place. Job Description This role is for a senior full-stack product engineer who can design and own business-critical product experiences end-to-end. We want someone who is strong technically, has sharp product judgment, communicates clearly, and has the taste to make user experiences and systems simpler, safer, and easier to evolve over time. Expect real ownership from problem discovery through frontend, backend, release, and production quality. The team is small enough for engineers to make real decisions. Career growth comes from ownership. Titles matter less than the scope you can carry. The people who grow fastest take responsibility for larger product areas, drive customer outcomes, and strive to develop better engineering practices. You solve ambiguous product problems by understanding the customer need, shaping the right technical and UX approach, then shipping, iterating, and keeping it healthy in production. We build AI-native. Engineers use Codex, Claude Code, and agents they build themselves. We invest in harness engineering through skills, CLIs, logs, traces, and orchestration. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission. Location – Warsaw, work from the office. What You Will Own Build and ship user-facing product features across frontend and backend boundaries Turn rough product goals into practical solutions with good scope, sensible trade-offs, and strong execution Work comfortably in UI, application logic, APIs, and data flows rather than stopping at team boundaries Partner closely with product and design while still being able to move when the spec is incomplete Improve usability, clarity, performance, and reliability, not just feature completeness Instrument what you ship so we can learn from production behavior and iterate quickly Use AI tools daily to move faster and help improve internal workflows, tooling, and engineering leverage Keep the bar high on code quality, testing, and ownership after launch What Strong Performance Looks Like You can take a vague product problem and turn it into a shipped, well-reasoned solution Your features feel coherent end-to-end because you care about both implementation and product quality You do not treat frontend and backend as separate worlds; you use both to solve the actual problem You bring momentum. Work moves because you are on it What We Are Looking For Strong senior-level experience shipping production web products Strong frontend ability with React and TypeScript or an equivalent modern web stack Real backend ability. You do not need to be backend-only, but you can design and ship APIs, backend logic, and data flows when the product needs it Strong product sense. You notice awkward flows, weak defaults, and unnecessary complexity, and you improve them Good judgment about scope, iteration, and technical trade-offs A security-conscious approach to engineering: you handle sensitive data carefully and think about the security implications of what you ship Clear communication and comfort working across engineering, product, and design AI-native working style. You already use AI tools as part of daily implementation and problem solving, and you are excited to improve how engineering work gets done Strong Plus Experience with AI-powered product experiences such as chat, search, recommendations, workflows, or agent-like systems Experience with Python, Node.js, or both on the backend Experience owning product areas with limited oversight Strong feel for performance, accessibility, and production quality in complex web applications How We Evaluate Fit We care more about end-to-end ownership, product sense, and the ability to ship meaningful work than a perfect match to every framework on paper. If you are the kind of engineer who can make a product better from multiple angles, we want to talk. What Shelf Offers B2B contract. Company Stock Options. Hardware: MacBook Pro. Modern technical stack . Develop open-source software . GitHub Copilot subscription. A strong AI-native engineering environment with modern tools and room to experiment, including Claude Code, OpenAI Codex, and GitHub Copilot. Why Shelf Becoming one of the defining companies of the AI age is a hard plan, and our leadership team has the rare mix of deep AI, knowledge-management, and enterprise SaaS experience to actually execute it We have raised over $60 million in funding; our investors include Tiger Global, Insight Partners, Base10, and others Recognized by Gartner as a Cool Vendor, with high-velocity growth powered by the most innovative product in our category We love our customers and our customers love us. Ask a Shelf customer why, and they'll tell you it's our innovative capabilities and rock-solid reliability, that they enjoy working with our people, and most of all, the improvements they see in their business KPIs We're building fast across three hubs: our New York HQ and our Product and Engineering centers in Warsaw and Lviv

🏢 Summary: Senior full-stack product engineering role focused on building and owning AI-native web product experiences across frontend and backend systems. The position involves end-to-end ownership of product features, collaboration with product and design teams, and improving performance, usability, and reliability in production. The role offers work with modern AI engineering tools and a high-growth environment in Warsaw. 🗂️ Requirements: Senior-level experience shipping production web products, Strong frontend skills with React, Strong frontend skills with TypeScript, Ability to design and ship APIs, Experience with backend logic and data flows, Strong product sense, Understanding of technical trade-offs and scope management, Security-conscious engineering approach, Clear communication across engineering, product, and design, Daily use of AI tools in engineering workflows, Ability to work from the Warsaw office 📃 Skills: React, TypeScript, Python, Node.js, APIs, AI, Codex, Claude, GitHub, Copilot 🏢 Description: About Shelf The enterprise is going agentic and we are creating a unique operating system for an automated future. Most AI agents break the moment they hit real business complexity. That’s why we built a platform that models a company's policies, workflows, and operational logic into an AI Data Model. Shelf enables AI Agents to reliably reason and deliver precise and reliable outcomes at scale. We already have what most AI startups are still trying to earn: Enterprise customers such as Glovo, Nespresso, and HelloFresh, real production data, and tens of thousands of users. Customers trust us with operational knowledge: Our platform is highly reliable and secure with SOC2, HIPAA-ready security practices, and mature integrations in place. Job Description This role is for a senior full-stack product engineer who can design and own business-critical product experiences end-to-end. We want someone who is strong technically, has sharp product judgment, communicates clearly, and has the taste to make user experiences and systems simpler, safer, and easier to evolve over time. Expect real ownership from problem discovery through frontend, backend, release, and production quality. The team is small enough for engineers to make real decisions. Career growth comes from ownership. Titles matter less than the scope you can carry. The people who grow fastest take responsibility for larger product areas, drive customer outcomes, and strive to develop better engineering practices. You solve ambiguous product problems by understanding the customer need, shaping the right technical and UX approach, then shipping, iterating, and keeping it healthy in production. We build AI-native. Engineers use Codex, Claude Code, and agents they build themselves. We invest in harness engineering through skills, CLIs, logs, traces, and orchestration. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission. Location – Warsaw, work from the office. What You Will Own Build and ship user-facing product features across frontend and backend boundaries Turn rough product goals into practical solutions with good scope, sensible trade-offs, and strong execution Work comfortably in UI, application logic, APIs, and data flows rather than stopping at team boundaries Partner closely with product and design while still being able to move when the spec is incomplete Improve usability, clarity, performance, and reliability, not just feature completeness Instrument what you ship so we can learn from production behavior and iterate quickly Use AI tools daily to move faster and help improve internal workflows, tooling, and engineering leverage Keep the bar high on code quality, testing, and ownership after launch What Strong Performance Looks Like You can take a vague product problem and turn it into a shipped, well-reasoned solution Your features feel coherent end-to-end because you care about both implementation and product quality You do not treat frontend and backend as separate worlds; you use both to solve the actual problem You bring momentum. Work moves because you are on it What We Are Looking For Strong senior-level experience shipping production web products Strong frontend ability with React and TypeScript or an equivalent modern web stack Real backend ability. You do not need to be backend-only, but you can design and ship APIs, backend logic, and data flows when the product needs it Strong product sense. You notice awkward flows, weak defaults, and unnecessary complexity, and you improve them Good judgment about scope, iteration, and technical trade-offs A security-conscious approach to engineering: you handle sensitive data carefully and think about the security implications of what you ship Clear communication and comfort working across engineering, product, and design AI-native working style. You already use AI tools as part of daily implementation and problem solving, and you are excited to improve how engineering work gets done Strong Plus Experience with AI-powered product experiences such as chat, search, recommendations, workflows, or agent-like systems Experience with Python, Node.js, or both on the backend Experience owning product areas with limited oversight Strong feel for performance, accessibility, and production quality in complex web applications How We Evaluate Fit We care more about end-to-end ownership, product sense, and the ability to ship meaningful work than a perfect match to every framework on paper. If you are the kind of engineer who can make a product better from multiple angles, we want to talk. What Shelf Offers B2B contract. Company Stock Options. Hardware: MacBook Pro. Modern technical stack . Develop open-source software . GitHub Copilot subscription. A strong AI-native engineering environment with modern tools and room to experiment, including Claude Code, OpenAI Codex, and GitHub Copilot. Why Shelf Becoming one of the defining companies of the AI age is a hard plan, and our leadership team has the rare mix of deep AI, knowledge-management, and enterprise SaaS experience to actually execute it We have raised over $60 million in funding; our investors include Tiger Global, Insight Partners, Base10, and others Recognized by Gartner as a Cool Vendor, with high-velocity growth powered by the most innovative product in our category We love our customers and our customers love us. Ask a Shelf customer why, and they'll tell you it's our innovative capabilities and rock-solid reliability, that they enjoy working with our people, and most of all, the improvements they see in their business KPIs We're building fast across three hubs: our New York HQ and our Product and Engineering centers in Warsaw and Lviv

🏢 Summary: Senior Product Engineer role focused on building full-stack applications, AI-assisted workflows, automation systems, and cloud infrastructure in a remote-first environment. The position emphasizes end-to-end ownership, AI-native development practices, and delivering measurable business impact across multiple technical domains. 🗂️ Requirements: Experience building production web applications, Experience with modern application frameworks, Experience designing A/B testing frameworks, Knowledge of cloud infrastructure, Experience with relational databases and query optimization, Proficiency with Git-based workflows and CI/CD, Ability to use AI-assisted development tools in production, Strong architectural and systems thinking, Ability to independently deliver complex software systems, Authorization to work in the United States 📃 Skills: PHP, Python, TypeScript, Laravel, Astro, AWS, Cloudflare, MySQL, Datadog, PostHog, Git, CI/CD, LLMs, RAG, Embeddings, Containerization, Orchestration 🏢 Description: What makes TechnologyAdvice unique is the breadth of problems our teams solve. Our engineers work across content platforms, data products, AI-powered workflows, lead generation systems, revenue operations, analytics, and internal business tools. Rather than being confined to a single product area, engineers have the opportunity to create impact across nearly every part of the business. Our Engineering Team builds and maintains the platforms, data pipelines, automation systems, and infrastructure that power the company. We believe exceptional engineers create value by solving business problems, not just writing code, and we empower our teams to work directly with stakeholders to identify opportunities and deliver solutions. We are a lean, high-leverage engineering organization where individual engineers can have outsized influence on company outcomes. Unlike many engineering roles focused on a single product, you'll have the opportunity to work across content platforms, revenue systems, AI workflows, analytics, automation, and internal business tools. We value ownership, execution, and business impact over years of experience. Exceptional candidates who consistently turn ideas into production systems and demonstrate extraordinary leverage through AI-assisted development are encouraged to apply. The opportunity We're seeking a Senior Product Engineer who uses AI as a core part of their engineering workflow. You'll leverage modern AI tools to accelerate software delivery while maintaining high standards for architecture, reliability, security, and maintainability. We believe exceptional engineers can create outsized business impact when empowered by modern AI tools, and we're building around that philosophy. As an individual contributor on our distributed team, you'll independently identify opportunities, define solutions, and deliver systems from concept to production. You'll work across the full lifecycle of software development—including discovery, architecture, implementation, deployment, and ongoing iteration—while collaborating closely with engineers, business stakeholders, and operational teams throughout the organization. Success in this role is measured by business impact, speed of execution, quality of solutions, and the ability to independently identify and deliver high-value opportunities. If you thrive in ambiguity, enjoy solving real business problems, and are excited by the idea of using AI to increase your engineering leverage, we'd love to talk. The best candidates for this role are naturally curious, highly autonomous, and energized by identifying opportunities that others overlook. What you'll do - Apply AI-assisted development practices to rapidly prototype, validate, and ship production-ready solutions - Identify opportunities across the business where software, automation, data, or AI can create meaningful operational, product, or revenue impact - Own solutions end-to-end—from discovery and scoping through architecture, implementation, deployment, measurement, and ongoing iteration - Collaborate directly with business stakeholders to understand problems, define solutions, communicate trade-offs, and measure outcomes - Design, build, and maintain full-stack applications, backend services, automations, and internal tools that drive business value - Contribute to architectural decisions, technical strategy, and long-term platform evolution - Work directly with cloud infrastructure and edge platforms, including AWS and Cloudflare - Monitor, troubleshoot, and improve system reliability, observability, performance, and operational excellence - Conduct thoughtful code reviews, uphold high engineering standards, and mentor other engineers - Continuously evaluate new technologies, AI capabilities, and development practices that can increase team effectiveness and engineering leverage Who you are Product Ownership & Execution - Demonstrated ability to move from ambiguous business problems to deployed solutions, collaborating directly with stakeholders throughout discovery, delivery, and measurement - Proven track record of independently delivering complex software systems and business outcomes with minimal oversight - Strong judgment in evaluating build-vs-buy decisions and identifying opportunities to leverage existing platforms, automation, and AI before building custom solutions AI-Native Engineering - Demonstrated ability to effectively leverage AI-assisted development tools in production environments while maintaining high standards for quality, security, performance, and maintainability - Strong systems thinking and architectural judgment to validate, refine, and extend AI-generated solutions Technical Expertise - Experience building and maintaining production web applications - Comfortable working within modern application frameworks - Experience designing and implementing experimentation and A/B testing frameworks - Working knowledge of cloud infrastructure - Solid experience with relational databases, including writing and optimizing queries both within and outside of ORMs - Proficiency with Git-based development workflows, code reviews, CI/CD pipelines, and automated deployment practices Collaboration & Communication - Strong communication skills and the ability to collaborate effectively across technical and non-technical stakeholders in a globally distributed organization - Self-driven, highly autonomous, and comfortable operating in a remote-first environment while managing priorities and consistently delivering results Experience with PHP, Python, TypeScript, Laravel, Astro, AWS, Cloudflare, MySQL, Datadog, PostHog, LLM APIs, embeddings, RAG architectures, agent frameworks, infrastructure-as-code, containerization, or orchestration is helpful. Engineering Culture - We ship frequently — small, incremental changes deployed via GitOps - We embrace AI — use of AI-powered tools such as Cursor, Claude, and ChatGPT to accelerate development - We own our infrastructure — engineers are empowered to improve the systems they build - We optimize for outcomes — engineers are encouraged to identify opportunities, challenge assumptions, and solve business problems What we offer you - Career growth opportunities with mentorship and leadership programs - Flex Fridays with adjustable schedules - Remote-first work environment - Flexible PTO - Medical, dental, and vision coverage - Life, AD&D, short-term, and long-term disability insurance - 401K with company match - Paid parental leave - Wellness perks and fitness reimbursements - Pet insurance - Speaker series bonus opportunities - Book reimbursement program - Bucket list benefit after 3 years - In-office catered lunches Work authorization Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the United States at hire and maintain authorization throughout employment. Salary Range Annual pay range: $160,000—$230,000 USD Pre-employment screening required. Any AI-generated or incomplete application answers will be auto-rejected.

🏢 Summary: Senior Data Scientist role focused on leading the design and delivery of production-grade Generative AI solutions using LLMs, including RAG pipelines, chatbots, and AI agents. The position combines hands-on development with architectural decision-making and technical mentorship, delivering scalable GenAI systems for large enterprise clients. You will own the full lifecycle from solution discovery through deployment, safety, and optimization. 🗂️ Requirements: 6+ years experience in Data Science or AI engineering, 4+ years production experience with Python for AI/ML, 2+ years building and deploying LLM-based systems in production, Experience designing and implementing RAG pipelines, Experience with model fine-tuning techniques (LoRA, QLoRA, SFT), Experience building end-to-end GenAI applications including orchestration and APIs, Ability to design system architectures for LLM-based solutions, Experience implementing AI safety and governance controls, Strong analytical and problem-solving skills, Professional English communication skills 📃 Skills: Python, LLMs, LangChain, LlamaIndex, LangGraph, RAG, LoRA, QLoRA, SFT, APIs, VectorDB, AI, MachineLearning 🏢 Description: ABOUT THE COMPANY Our client is an end-to-end data services partner to global enterprises, founded in 2008 and headquartered in Warsaw. Our teams work with over 75 leading consumer packaged goods brands across more than 30 countries, helping them unlock the full value of their data — from strategy and development through to operations and adoption. Our work spans supply chain analytics, customer analytics, AI and machine learning, data platforms, and digital commerce. We are recognised as a Strong Performer in the Gartner Peer Insights Voice of the Customer report for data and analytics, and hold Great Place to Work certification in multiple countries. ABOUT THE ROLE We're looking for an experienced Senior Data Scientist with deep expertise in Generative AI to lead projects building and implementing advanced LLM-based systems — including chatbots, AI agents, and RAG pipelines. This is a technical leadership role: you'll make architectural decisions, select technologies, set best practices, and mentor other engineers, while remaining hands-on across the full solution lifecycle. You'll work closely with data engineers, product owners, and full-stack developers to deliver scalable GenAI applications for large enterprise clients, primarily in CPG, retail, and manufacturing. WHAT YOU'LL WORK ON Solution design and discovery Lead discovery and solution design for GenAI use cases — translating business problems into concrete architectures covering LLM selection, RAG, fine-tuning, agents, and guardrails. End-to-end GenAI applications Build complete GenAI solutions covering data ingestion, retrieval layers, orchestration (LangChain, LlamaIndex, LangGraph), API and backend, and lightweight UI where needed. RAG pipeline design Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness. Model selection, prompting, and fine-tuning Own prompting strategies, model selection, and fine-tuning (LoRA, QLoRA, SFT) for text, code, and multimodal models, including evaluation and A/B testing. Safety and governance Implement safety, compliance, and governance controls including input/output filters, PII handling, audit logs, and human-in-the-loop review where required. Requirements and estimation Gather technical requirements from stakeholders and produce reliable estimates for planned work. Mentorship and knowledge sharing Mentor other data scientists and engineers in GenAI patterns, code quality, and best practices. Contribute to internal libraries, templates, and reusable components. Staying current Track the GenAI landscape — new open and hosted models, agentic frameworks, evaluation techniques — and run targeted PoCs to validate emerging approaches. WHAT WE LOOK FOR 6+ years in Data Science or AI engineering Broad experience across the data science and AI stack, with a track record of delivering production systems. 4+ years of production Python for AI Fluent in writing production-ready Python for AI and ML workloads — clean, maintainable, and deployable. 2+ years of production LLM development Hands-on experience building and shipping LLM-based systems in production environments, not just research or prototypes. Strong analytical and problem-solving skills Able to break down ambiguous problems, make sound architectural decisions under uncertainty, and defend those decisions clearly. Excellent English communication Comfortable working directly with international clients and cross-functional teams. Able to translate technical complexity for non-technical stakeholders. THE TEAM You'll join a specialist Data Science and AI practice working alongside experienced consultants, ML engineers, and data engineers. The team delivers solutions for large international clients across CPG, retail, and manufacturing. There is a strong knowledge-sharing culture, with internal communities, competency centres, and structured learning programmes built into how the team operates. COMPENSATION & BENEFITS Rate 105 – 170 PLN per hour on a B2B contract, depending on experience. Work model Fully remote or office-based — your choice. Flexibility on working hours and contract form. Workation policy Option to work remotely from other locations for defined periods. Onboarding Comprehensive online onboarding programme with a dedicated buddy from day one. Learning and development Unlimited access to the Udemy learning platform from day one. Certificate training programmes, upskilling support, capability development programmes, competency centres, knowledge sharing sessions, community webinars, and over 110 training opportunities per year. Career growth Internal promotion pathways — 76% of managers were promoted internally. Cooperation with top-tier engineers and domain experts across the organisation. Referral bonuses Financial rewards for successful employee referrals. Wellbeing Activities to support health and wellbeing, with opportunities to contribute to charitable causes and environmental initiatives. Equipment Modern office equipment provided. Employer recognition Great Place to Work certified employer.

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Full-Stack Product Engineer role focused on building and evolving a visual IDE for designing and deploying conversational AI agents. The position involves end-to-end ownership of features across frontend and backend, including AI copilot integration, real-time simulation, and enterprise-grade UX. The engineer will deliver production-ready solutions that balance performance, reliability, and fluent AI-driven interactions. 🗂️ Requirements: Significant production experience with React, Strong proficiency in TypeScript, Experience with modern Next.js or equivalent frameworks, Full-stack development experience across API design, data modeling, and UI, Experience with relational databases, Experience using ORMs, Ability to build and ship production-ready features end-to-end, Experience integrating AI tools or model APIs into production workflows, Fluent English (B2), Fluent Polish (C1) 📃 Skills: React, TypeScript, Next.js, JavaScript, APIs, REST, SQL, ORM, AI, LLM, Claude, HTML, CSS 🏢 Description: About Lekta AI Founded in 2016 in Kraków, Poland , Lekta AI is a technological company working with major European banking , insurance , and telco enterprises . The company was set up with an ambitious goal of providing the best customer service in the world . Lekta stands out from the crowd of conversational AI companies because we combine technological expertise with domain-specific knowledge from contact center industry veterans . Through the use of our proprietary conversational neurosymbolic engine and backend integrations , our systems are intent- and context-aware , handling over 1.5 million conversations every month . Today, with offices in Poland and Spain , Lekta is rapidly expanding its business division to scale operations internationally . About the role Lekta is hiring a Full-Stack Product Engineer to build and evolve the IDE that creators use to design conversational agents — the surface where every Lekta user actually does their work. This is product engineering at the heart of the platform : visual editing , the in-product AI copilot , real-time simulation , and the workflows that decide whether building an agent feels effortful or natural . UX quality is product quality here; the people using your work spend hours inside it every day . You will own features end-to-end across the stack , work close to product and design , and ship into a real customer feedback loop . We are building the next generation of conversational AI — a platform where the creator's experience is itself AI-native . Think of what Lovable did for app-building, applied to conversational agents: a visual IDE , a copilot that helps the user shape, refine and evolve the agent, and a runtime engineered to deploy what gets built into enterprise production . What makes the engineering genuinely hard is the combination our agents have to deliver simultaneously: fluent (natural language, real conversation), fast (sub-second on live voice channels), and reliable (predictable behaviour under real customer pressure, every time). Most stacks force a choice between two of those at the cost of the third. We don't , and that constraint shapes almost every engineering problem we work on. AI is a power tool , and we treat it like one. Lekta engineers are encouraged — and equipped — to use AI deeply across their work: Claude Code , model APIs , copilot tooling . We invest in the accounts, tooling, and time it takes to get fluent with them. We don't measure people on lines committed ; we measure on what gets delivered and how well it holds up in production . We are not an agentic-workflow company . AI generates; the engineer directs and reviews. Every change going out under your name has been read, understood, and signed off by you . Responsibilities Build and evolve the IDE that creators use to design, refine and ship conversational agents — visual editor , simulation , debugging , observability surfaces Build the in-product AI copilot — the assistant that helps users shape, refine, and evolve their agents inside the IDE Own product features end-to-end : from API and data model to UI , including sharing , collaboration , and multi-tenant workflows Deliver high UX quality at the level enterprise customers expect of a tool they spend hours in every day — typography , layout , motion , performance Integrate with the runtime layer to surface live simulation , traces , and operational signals into the IDE Work closely with product , design , and users — both on what to build next and on whether what shipped actually solved the problem Qualities Significant production experience with React and TypeScript at depth , including modern Next.js (or equivalent) patterns Strong full-stack range — comfortable moving between API design , data modelling , and UI in a single feature, owning what you ship after release Eye for UX — you notice when interactions are off, you care about typography , motion , layout , and performance , and you hold the bar even when nobody is watching Comfort with relational databases and ORMs — you can model a feature's data layer without needing a backend specialist on call Track record of shipping production work with AI in your daily loop , and reviewing what it produces Experience building visual editors , AI copilot / assistant interfaces , or developer tools is strongly preferred Fluent in English (B2) and Polish (C1) ; other languages are a plus Why join us Visible impact — your engineering decisions land in real customer experience , not in roadmap slides Real ownership — few layers between you and production, and close work with engineering leadership and founders AI-first workflow with company-paid tooling — Claude Code , model access , IDEs of your choice Flexible contract types ( B2B / Employment Contract ), work arrangements , and working hours Remote, hybrid or in-office — from a location of your choice Direct, low-bureaucracy, results-oriented culture ; no micromanagement Competitive salary , with an honest conversation about trajectory as Lekta scales