Product Engineer- Backend background

🏢 Summary: Technical Product Manager role focused on building and scaling AI capabilities at the platform and backend level, powering multiple products. The position bridges product strategy and deep engineering collaboration, shaping AI-driven features, APIs, and infrastructure for reliability and scalability. You will own end-to-end product delivery for AI and cloud services, translating business needs into robust technical solutions. 🗂️ Requirements: Technical background in software development or hands-on engineering role, Ability to read code and participate in architecture discussions, Experience working with backend or platform products, Strong understanding of LLMs and AI system design, Experience with APIs and service architecture, Ability to define and manage technical product requirements, Experience delivering scalable and reliable technical solutions, Fluent English communication skills 📃 Skills: AI, LLMs, APIs, Backend, Architecture, Cloud, Infrastructure, Prompting, Observability, Permissions, RateLimiting, Streaming, ModelManagement, Evaluations 🏢 Description: We are the company behind CKEditor – an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Description: As a Technical Product Manager, you will help shape how AI becomes a real product capability across CKEditor. This role sits at the intersection of product thinking, engineering depth, and developer empathy. You’ll work closely with engineers, designers, and business stakeholders to turn AI opportunities into product decisions that are useful, scalable, and worth shipping. When this role works well, teams move faster, product decisions get sharper, and AI capabilities feel like a real extension of the product rather than a layer added on top. You won’t just help define features. You’ll help define how we build in this space. You'll work on the backend and platform layer that powers multiple products across CKEditor. This department includes the AI Services team, which focuses on agent harnessing, model management and evaluations, streaming, rate limiting, and permissions, as well as Cloud Services teams responsible for real-time collaboration infrastructure. What those teams share is a platform-first mindset: you need to care about APIs, service architecture, and the reliability that many products and teams depend on every day. On the AI side, you also need to understand what LLMs can and can't do, and why that matters at the infrastructure level. If you have a stronger background with the product surface and the design - and would like to continue growing in that direction - take a look at our counterpart role, Technical Product Manager. Key responsibilities: Help shape the product vision and roadmap for our features. Drive prioritization day to day: make clear tradeoffs between user value, technical complexity, speed, and quality. Keep the team focused on what matters most right now. Collaborate with engineering teams to translate business needs into technical requirements. Manage the product lifecycle from conception through release. Define and track product requirements, and ensure delivery of high-quality and scalable solutions. Coordinate with sales, marketing, and support teams to maximize product success. To be successful in this role you need the following: Engineers forget you're a PM. You come from a technical background (whether that's software development or another hands-on technical role), and it shows. You can read code, hold your own in architecture discussions, and understand constraints without needing them explained twice. You ship, not just plan. Within 3 months, you'll be expected to be productive in the trenches. This isn't a role where strategy fills your calendar. You own the day-to-day scope and delivery alongside your engineering and design counterparts, and you move at the pace the work demands. You're comfortable owning hundreds of small decisions, every day. High-level strategy will be covered by product and technical leaders, with your help. But the details are yours. You'll make judgment calls constantly, and you won't wait for permission to make them. You take AI seriously and you lead well in high-stakes environments. AI is our top product priority right now. You understand how LLMs work, what makes a prompt engineering approach sound or fragile, and why model behavior matters to the product experience. You'll be in conversations with product leaders, technical leaders, and go-to-market teams, and you can discuss this work credibly with engineers and executives while driving clarity and momentum without formal authority. You communicate clearly across very different audiences, in fluent English. You can explain a technical tradeoff to a non-technical stakeholder and an AI product decision to an engineer, on the same day, without losing either audience. Experience that helps: We care more about what you've accomplished than CV line items. If you've shipped products that users and developers love, and can discuss technical tradeoffs, we want to talk regardless of your education or exact years of experience. We'd love to hear about: You've worked on platform or backend products that serve multiple teams or product surfaces. You understand the difference between shipping a feature once and building a capability others will depend on every day. You can discuss prompt engineering, model behavior, evaluations, and operational tradeoffs without hand-waving. You know that AI quality is not just about picking a model; it's about system design, guardrails, iteration, and measurement. You've worked with APIs, service architecture, observability, permissions, rate limits, or other platform concerns that determine whether a technical product is reliable at scale. Why join CKSource: Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include: B2B contract-based monthly remuneration is 22.000 - 28.000 PLN + VAT or its equivalent on the employment contract. Flexible schedule and the possibility to work fully remotely. Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly). LinkedIn Learning access. Extra leave for Tiugo Day – our company’s foundation day and your birthday. English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German. Access to a mental health and well-being platform with 24/7 dedicated psychological support. Private medical care (Enel Med or Medicover) and Multisport card. 26 days of paid leave for our contractors. 2 weeks of paid parental leave for our contractors. Recruitment process: HR interview, ~ 45 min Interview with the Hiring Manager (Senior Technical Product Manager) and the Engineering Manager, ~ 1,5h Interview with the Director of Engineering, ~ 30 min In person deep dive task

🏢 Summary: Technical Project Manager / Feature Owner responsible for end-to-end delivery of product features, translating business needs into actionable technical plans and driving execution with engineering teams. The role combines hands-on technical understanding with sprint management and stakeholder communication. Involves close collaboration with engineers and optional AI/ML integration within the product ecosystem. 🗂️ Requirements: Proven experience in software development environments, Ability to discuss APIs, system architecture, and databases, Experience as Engineering Manager, Team Lead, or Senior Developer, Experience translating business requirements into technical specifications, Experience managing sprints and mitigating technical risks, Strong technical stakeholder communication skills, Degree in Computer Science, Engineering, or related field 📃 Skills: APIs, Architecture, Databases, Agile, Scrum, AI, ML, Roadmapping, Sprints, Backlog, SQL, REST 🏢 Description: The Role We are looking for a Technical Project Manager who acts as a bridge between high-level business strategy and hands-on engineering execution. This isn't a "spreadsheet-only" PM role. We need a Feature Owner —someone who understands the "how" as much as the "what." Whether you are a former Software Engineer looking to pivot into leadership, or an Engineering Manager who misses the thrill of driving technical delivery without the burden of people management, this role is for you. Key Responsibilities Feature Ownership: Take full end-to-end responsibility for specific product features, from initial technical grooming to production release. Technical Roadmap: Translate business requirements into clear, actionable technical specifications for the development team. Bridge the Gap: Act as the primary translator between stakeholders and engineers, ensuring technical constraints are understood and business value is delivered. Delivery Excellence: Manage sprints, mitigate technical risks, and remove blockers to keep the development velocity high. AI/ML Integration (Nice to Have): Collaborate with Data Scientists and ML Engineers to integrate machine learning models into the core product ecosystem. What You Bring (Requirements) Software Background: Proven experience working directly within software development environments. You should be comfortable talking about APIs, system architecture, and databases. "Builder" Mindset: Experience (even "light") as an Engineering Manager, Team Lead, or Senior Developer who has a natural talent for project coordination. Pragmatism: Ability to balance technical debt with the need for rapid feature delivery. Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders. Education: Degree in Computer Science, Engineering, or a related technical field is preferred. Bonus Points Hands-on experience or a strong theoretical understanding of Machine Learning (ML) workflows. Experience with Agile/Scrum methodologies in a fast-paced startup or scale-up environment.

🏢 Summary: Technical Product Manager role focused on shaping and delivering AI capabilities within a rich text editor platform, combining product ownership with strong engineering depth. The position drives day-to-day prioritization, translates business needs into technical requirements, and ensures scalable, high-quality AI features integrated into real-time collaborative editing workflows. It requires hands-on involvement with engineering teams to ship AI-powered product experiences from conception to release. 🗂️ Requirements: Technical background in software development or hands-on engineering role, Ability to read code and participate in architecture discussions, Experience delivering AI-powered products or features, Understanding of LLMs and prompt engineering concepts, Experience translating business needs into technical requirements, Ownership of product lifecycle from conception to release, Experience working with APIs and scalable systems, Fluent English communication in technical contexts 📃 Skills: AI, LLM, Prompting, APIs, Architecture, SaaS, Collaboration, UX, Agile, Backlog 🏢 Description: We are the company behind CKEditor – an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Description: As a Technical Product Manager, you will help shape how AI becomes a real product capability across CKEditor. This role sits at the intersection of product thinking, engineering depth, and developer empathy. You’ll work closely with engineers, designers, and business stakeholders to turn AI opportunities into product decisions that are useful, scalable, and worth shipping. When this role works well, teams move faster, product decisions get sharper, and AI capabilities feel like a real extension of the product rather than a layer added on top. You won’t just help define features. You’ll help define how we build in this space. You’ll work more closely with the product surface: how AI shows up in editing workflows, where it saves time, how it earns user trust, and how it improves the experience for developers and end users. CKEditor AI brings AI directly into the editor through capabilities like chat, review, and translation, helping teams create and improve rich text content without leaving their workflow. You’ll work on what is one of the most advanced rich text editing platforms on the market, combining AI capabilities with real-time collaboration for products where content is core to the user experience. If you have a stronger background in the platform layer, backend, and APIs - and would like to continue growing in that direction - take a look at our counterpart role, Technical Product Manager. Key responsibilities: Help shape the product vision and roadmap for our features. Drive prioritization day to day: make clear tradeoffs between user value, technical complexity, speed, and quality. Keep the team focused on what matters most right now. Collaborate with engineering teams to translate business needs into technical requirements. Manage the product lifecycle from conception through release. Define and track product requirements, and ensure delivery of high-quality and scalable solutions. Coordinate with sales, marketing, and support teams to maximize product success. To be successful in this role you need the following: Engineers forget you're a PM. You come from a technical background (whether that's software development or another hands-on technical role), and it shows. You can read code, hold your own in architecture discussions, and understand constraints without needing them explained twice. You ship, not just plan. Within 3 months, you'll be expected to be productive in the trenches. This isn't a role where strategy fills your calendar. You own the day-to-day scope and delivery alongside your engineering and design counterparts, and you move at the pace the work demands. You're comfortable owning hundreds of small decisions, every day. High-level strategy will be covered by product and technical leaders, with your help. But the details are yours. You'll make judgment calls constantly, and you won't wait for permission to make them. You take AI seriously and you lead well in high-stakes environments. AI is our top product priority right now. You understand how LLMs work, what makes a prompt engineering approach sound or fragile, and why model behavior matters to the product experience. You'll be in conversations with product leaders, technical leaders, and go-to-market teams, and you can discuss this work credibly with engineers and executives while driving clarity and momentum without formal authority. You communicate clearly across very different audiences, in fluent English. You can explain a technical tradeoff to a non-technical stakeholder and an AI product decision to an engineer, on the same day, without losing either audience. Experience that helps: We care more about what you've accomplished than CV line items. If you've shipped products that users and developers love, and can discuss technical tradeoffs, we want to talk regardless of your education or exact years of experience. We'd love to hear about: You've worked on product experiences where the interface matters as much as the model behind it: writing tools, editing workflows, review systems, or other products where users stay in flow only if the UX is fast, trustworthy, and clear. You've worked on enterprise-grade products where quality is non-negotiable and the details are what separate good from great. You understand content processes: how teams create, review, and publish content, and you can see how a product decision in an editor ripples through an entire workflow. Experience with rich text editing, document-centric products, or real-time collaboration is especially relevant. Why join CKSource: Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include: B2B contract-based monthly remuneration is 22.000 - 28.000 PLN + VAT or its equivalent on the employment contract. Flexible schedule and the possibility to work fully remotely. Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly). LinkedIn Learning access. Extra leave for Tiugo Day – our company’s foundation day and your birthday. English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German. Access to a mental health and well-being platform with 24/7 dedicated psychological support. Private medical care (Enel Med or Medicover) and Multisport card. 26 days of paid leave for our contractors. 2 weeks of paid parental leave for our contractors. Recruitment process: HR interview, ~ 45 min Interview with the Hiring Manager (Senior Technical Product Manager) and the Engineering Manager, ~ 1,5h Interview with the Director of Engineering, ~ 30 min In person deep dive task

🏢 Summary: AI Product Manager role focused on defining and delivering AI-enhanced capabilities for a framework-agnostic UI component library, embedding agentic workflows and automated SDLC tooling into engineering practices. The position owns the product roadmap, backlog, and stakeholder alignment to drive measurable outcomes in an AI-powered development environment. 🗂️ Requirements: 3+ years experience as Product Owner or Product Manager in software engineering, Experience managing complex backlogs across multiple workstreams, Strong knowledge of Scrum and Kanban frameworks, PMBOK knowledge, Working knowledge of AI/LLM-powered tooling and prompt engineering, Understanding of agentic workflows and MCP concepts, Experience with CI/CD pipelines and SDLC automation, Experience with GitLab and automated code review tools, Ability to define acceptance criteria for AI features, Experience with delivery metrics and data-driven prioritization, Ability to produce PRDs and structured technical documentation, Business-level English (C1+) 📃 Skills: AI, LLM, MCP, CI/CD, GitLab, Scrum, Kanban, PMBOK, SDLC, LangChain, SemanticKernel, CrewAI, PowerBI, Grafana, Stencil, HTML 🏢 Description: (#5027) About the Role: AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications. We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice. In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context. About the Client: Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software. Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc. Responsibilities: Product Strategy & Roadmap Define and maintain the AI product roadmap for the  UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives. Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices. Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership. AI & Agentic Infrastructure Ownership Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines. Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the  UI component library development lifecycle. Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents. Backlog & Delivery Management Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality. Coordinate and execute releases planning and scope management Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers. Stakeholder Alignment & Communication Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication. Produce executive-level product roadmaps reports aligned to Company’s brand guidelines. Identify, track, and escalate risks and dependencies in the delivery timeline. Consumer & Quality Focus Maintain the consumer-facing  UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers. Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria. Key Skills & Requirements: Product Ownership 3+ years of experience as a Product Owner or Product Manager in a software engineering environment. Proven track record of managing complex backlogs with competing priorities across multiple workstreams. Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas. AI & Technical Fluency Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts. Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams. Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM. Stakeholder & Delivery Management Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model. Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers). Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation. Communication & Documentation Excellent written and verbal communication in English (business-level required; C1+). Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations. Nice to have: Experience with UI platform or design system products (component libraries, Stencil.js, web components). Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns. Background working within large enterprise engineering organisations. Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting. Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports). Certifications: Advantageous AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate) ITIL 4 Foundation — for service and change management context in enterprise delivery

🏢 Summary: Mid Full Stack Engineer role focused on building and improving AI-powered enterprise products across frontend and backend systems. The position involves developing web applications, APIs, and production features using modern technologies while collaborating closely with cross-functional teams. Candidates will work with AI development tools and contribute to scalable, high-quality software in a fast-growing environment. 🗂️ Requirements: 2–5 years of experience building production web applications, Knowledge of React, Knowledge of TypeScript or another modern frontend framework, Experience building backend services, Experience building REST APIs, Familiarity with testing and version control, Understanding of web application architecture, Understanding of client-server communication, Problem-solving skills, Attention to code quality, Strong communication skills, Experience using AI development tools, Willingness to collaborate across engineering, product, and design teams 📃 Skills: React, TypeScript, REST, Git, GitHub, Copilot, Claude, ChatGPT, Python, Node.js, AWS, GCP, Azure, Docker, CI/CD 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with complex business tasks. We solve this problem by building a platform that understands company knowledge, policies, processes, and workflows, enabling AI to make reliable decisions instead of simply generating answers. Our technology helps businesses automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just a few seconds. Our mission is simple: to give people better answers everywhere. About the Role We are looking for a Mid Full Stack Engineer who enjoys building products and solving real user problems. In this role, you'll work across both the frontend and backend, collaborating closely with engineers, product managers, and designers to deliver new features and improve existing ones. You'll have the opportunity to work with modern AI technologies, contribute to production systems, and grow your technical skills in a fast-moving environment. If you enjoy learning, shipping high-quality software, and working on products used by enterprise customers, we'd love to hear from you. Responsibilities - Build and maintain product features across both frontend and backend. - Develop user interfaces using modern frontend technologies. - Build and extend backend APIs and business logic. - Collaborate with engineers, product managers, and designers to implement new functionality. - Improve application performance, reliability, and usability. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Help monitor production systems and improve features based on user feedback and product data. - Use AI development tools to improve productivity and software development workflows. Requirements - 2–5 years of experience building production web applications. - Good knowledge of React, TypeScript, or another modern frontend framework. - Experience building backend services and REST APIs. - Familiarity with modern software engineering practices, testing, and version control. - Understanding of web application architecture and client-server communication. - Good problem-solving skills and attention to code quality. - Strong communication skills and willingness to collaborate across engineering, product, and design teams. - Experience using AI tools such as GitHub Copilot, Claude Code, ChatGPT, or similar in day-to-day development. - Curiosity, ownership of your work, and a desire to continuously learn. Nice to Have - Experience with Python, Node.js, or both. - Experience working on AI-powered products or LLM integrations. - Familiarity with cloud platforms (AWS, GCP, or Azure). - Knowledge of Docker, CI/CD, or modern deployment workflows. - Understanding of performance optimization and accessibility best practices. What We Offer - B2B contract. - Company stock options. - MacBook Pro for work. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on real AI products used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - The chance to grow your career alongside experienced engineers in a fast-growing AI company. Why Join Us Our leadership team brings deep experience in AI and knowledge management. We've raised over $60 million in funding and achieved three consecutive years of 3× growth. We believe great products are built by great teams, and our culture is shaped by these values: - Quality - We care about craftsmanship and building software that lasts. - Momentum - We move quickly, iterate often, and continuously improve. - Accountability - We take responsibility for our work, communicate openly, and support one another. - Hard Work - We believe ambitious goals require dedication and teamwork. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We succeed by collaborating, sharing knowledge, and helping each other grow.

🏢 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 Backend Engineer responsible for designing, building, and maintaining production-grade backend systems that power AI-driven business automation. The role covers full ownership from system design to deployment, focusing on scalable, reliable distributed systems and cloud infrastructure. This is a Warsaw-based, office role with strong emphasis on technical leadership and AI-supported development workflows. 🗂️ Requirements: Senior-level experience in backend engineering on production systems, Strong Python programming skills, Experience with distributed systems concepts, Experience with cloud platforms (AWS, Azure, or similar), Knowledge of SQL and NoSQL databases, Ability to design, implement, and deliver systems to production, Strong written and spoken communication skills, Regular use of AI tools in development workflows 📃 Skills: Python, AWS, Azure, SQL, NoSQL, DistributedSystems, Concurrency, AsynchronousProcessing, APIs, Cloud, GitHubCopilot, OpenAI, Claude, TypeScript 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This allows AI to make better decisions and provide accurate, reliable, and compliant results. Well-known companies from different industries use our technology to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that used to take hours in just seconds. We also work with leading technology partners and have been recognized for our innovative approach. Our goal is to help people everywhere get better answers through AI. Job Description We are looking for a Senior Backend Engineer who can take ownership of important systems instead of only completing assigned tasks. You will solve complex problems, design backend solutions, build them, and make sure they run well in production. We want someone with strong technical skills, good communication, and the ability to create simple, reliable, and easy-to-maintain systems. This is a product engineering role with responsibility from system design to production. The position is based in Warsaw and requires office work. Responsibilities Design and develop backend services, APIs, data processing, and background tasks for production systems. Turn unclear business needs into clear technical plans and practical solutions. Maintain services after release by improving reliability, monitoring, performance, and fixing issues. Make good decisions about system architecture, data models, interfaces, and future scaling. Write technical documentation, architecture notes, and diagrams when they help the team. Work closely with product managers, frontend engineers, and platform engineers to deliver complete solutions. Improve development processes using AI tools, automation, and internal workflows. Support the team through code reviews, design reviews, and practical technical leadership. Requirements Strong experience as a senior backend engineer working on production systems. Excellent Python skills and the ability to write clean and maintainable code. Good understanding of distributed systems, including concurrency, failure handling, data consistency, asynchronous processing, and service design. Experience with cloud platforms such as AWS, Azure, or similar services. Knowledge of SQL, NoSQL databases, schema design, and performance optimization. Ability to take a project from an idea through design and implementation to production. Strong written and spoken communication skills with the ability to explain technical topics clearly. Regular use of AI tools in everyday development and interest in improving AI-based workflows. Nice to Have Experience with LLM-based applications, search systems, AI infrastructure, or large data pipelines. Knowledge of TypeScript or the ability to contribute to frontend development when needed. Experience guiding other engineers and influencing technical decisions without being a formal manager. What We Offer B2B contract and company stock options. MacBook Pro for work. Modern technology stack and opportunities to contribute to open-source projects. Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP servers. Our Culture and Values Our leadership team has strong experience in AI and knowledge management. We have secured more than $60 million in funding and achieved three years of continuous 3x growth. Our work is based on these values: Quality – We aim for excellent work and high coding standards. Momentum – We take initiative and keep projects moving forward. Accountability – We take responsibility and give honest, respectful feedback. Hard Work – We believe great results come from teamwork and consistent effort. Learning Agility – We stay curious, learn from mistakes, and improve every day. Adapt and Thrive – We accept change and see challenges as opportunities. Win Together – We succeed as one team through honesty, openness, and support for our shared mission.

🏢 Summary: Senior fullstack (backend-heavy) engineer to build a greenfield prenatal screening diagnostics product, owning architecture and features end-to-end from backend to selected frontend components. The role focuses on designing scalable Java/Spring Boot services, APIs, and data models, while contributing to React/TypeScript UI and shaping technical direction in a fast-moving MVP phase. Strong emphasis on clean architecture, testing discipline, AWS deployment, PostgreSQL, and effective use of AI-assisted development tools. 🗂️ Requirements: Strong expertise in Java and Spring Boot, Clean API design and domain modeling, Experience defining service boundaries and scalable architectures, Solid understanding of OOP, SOLID, and clean architecture, Working proficiency in React and TypeScript, Proven use of AI coding tools in daily workflow, Experience writing unit, integration, and API tests, PostgreSQL schema design and query optimization, AWS production deployment experience (ECS/EKS, RDS, Lambda, S3), Ability to work in greenfield, ambiguous environments 📃 Skills: Java, Spring, SpringBoot, React, TypeScript, PostgreSQL, AWS, ECS, EKS, RDS, Lambda, S3, REST, OOP, SOLID, SQL, AI, Cursor, Claude 🏢 Description: We are building a new prenatal screening diagnostics product from scratch. The project is currently in an early greenfield phase, with MVP delivery planned within the next six months. We are looking for a senior engineer who enjoys building products end-to-end and feels comfortable taking ownership across the full development lifecycle — from backend architecture and data modeling to APIs and selected frontend features. This role is backend-heavy, but requires a pragmatic fullstack mindset and the ability to contribute wherever needed. You will work closely with product stakeholders in a fast-moving environment, helping shape both technical direction and product decisions. We are particularly interested in engineers who actively use AI-assisted development tools (such as Cursor, Claude Code, or similar) as part of their daily workflow and understand how to leverage them effectively while maintaining high engineering standards and code quality. You will have a direct impact on: defining system architecture and service boundaries, designing scalable backend solutions, building APIs and core business logic, contributing to React/TypeScript frontend development, establishing engineering best practices, testing strategy, and maintainable code standards. The project operates in the diagnostics domain, so attention to quality, reliability, and clean engineering practices is essential. Requirements: Strong Java and Spring Boot expertise — clean API design, domain modeling, sound architectural trade-offs. You think in terms of service boundaries, data flow, and maintainability, not just making it work Solid grasp of software design principles — object-oriented programming, SOLID, clean architecture, separation of concerns. You write code that the next person can read, extend, and trust. You know when a pattern helps and when it's ceremony Working proficiency in React and TypeScript — you can pick up frontend tasks, build components, and integrate with backend APIs independently Proven experience integrating AI coding tools (Claude Code, Cursor, or equivalent) into daily development workflow — including prompt design for code generation, output validation, and actively preventing AI-generated technical debt. You can describe concrete examples of where AI accelerated your delivery and where you chose to override it Testing as a professional discipline, not a checkbox — you write unit, integration, and API tests as part of delivery, own the test pyramid decisions, and treat untested code as unfinished code PostgreSQL — schema design, query optimization, migrations in a production context AWS experience — you've deployed and operated production workloads on AWS (ECS/EKS, RDS, Lambda, S3) and can make informed infrastructure decisions Comfort working in ambiguous, greenfield settings — you define scope with stakeholders rather than waiting for pre-scoped tickets Responsibilities: Own features end-to-end: design, implement, test, deploy, and maintain across the full stack. Work split ~80% backend, 20% frontend. Make foundational architectural decisions on a greenfield codebase — data models, API contracts, service boundaries, test strategy Build and maintain the Java/Spring Boot backend that powers the product's core logic Contribute to the React/TypeScript frontend when needed — you're backend-primary, but you ship UI when the team needs it Integrate AI coding tools into your daily workflow to accelerate delivery while maintaining code quality — and help the team adopt these practices Collaborate directly with product stakeholders to refine requirements in a fast-moving, low-ceremony environment

🏢 Summary: Senior Full Stack Engineer role focused on building and owning end-to-end product features for an AI-driven platform that automates complex business processes. The position involves developing frontend and backend solutions, designing APIs, improving performance and usability, and leveraging AI tools in daily engineering work. The role is office-based in Warsaw and requires strong product thinking and production-level experience. 🗂️ Requirements: Senior-level experience building production web applications, Strong knowledge of React and TypeScript or similar frontend framework, Experience designing and developing backend APIs and application logic, Ability to build and maintain frontend and backend features end-to-end, Experience working with production environments and monitoring released features, Daily use of AI tools for development and problem-solving, Strong understanding of code quality, testing, and long-term ownership 📃 Skills: React, TypeScript, JavaScript, API, REST, Node.js, Python, GitHub, Copilot, Claude, OpenAI, Codex, TypingMind, MCP, AI 🏢 Description: About Us Many companies want to use AI agents, but these agents often have problems with complex business tasks. We help solve this issue. Our platform understands company rules, processes, and workflows, so AI can make better decisions instead of only giving simple answers. This allows businesses to use AI that is accurate, follows company policies, and can be trusted. Well-known companies use our technology to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that used to take hours in just a few seconds. We work with leading technology partners and have received industry recognition for our innovative approach. Our mission is to give people better answers everywhere. About the Role We are looking for a Senior Full Stack Engineer with strong product thinking. In this role, you will own features from start to finish. You will understand user needs, plan solutions, build frontend and backend functionality, release new features, and improve them based on user feedback. You should feel comfortable working on user interfaces, APIs, and production quality while collaborating with product and design teams. Location: Warsaw (office-based). Responsibilities Build and deliver product features across both frontend and backend. Turn product ideas into practical and effective solutions. Work with user interfaces, business logic, APIs, and data flows. Cooperate closely with product managers and designers, even when requirements are still developing. Improve usability, performance, reliability, and overall user experience. Monitor released features and use production data to make improvements. Use AI tools every day to work faster and improve engineering processes. Maintain high standards for code quality, testing, and long-term ownership. Requirements Strong experience as a senior engineer building production web applications. Good knowledge of React, TypeScript, or a similar modern frontend framework. Experience designing and developing backend APIs and application logic. Strong product mindset with the ability to identify and improve weak user experiences. Good decision-making skills when balancing scope, speed, and technical quality. Clear communication and teamwork across engineering, product, and design. Daily experience using AI tools for development and problem-solving. Nice to Have Experience building AI-powered products such as chat, search, recommendation systems, workflows, or AI agents. Knowledge of Python, Node.js, or both. Experience owning product areas independently. Understanding of performance optimization, accessibility, and high-quality web applications. What We Offer B2B contract and company stock options. MacBook Pro for work. Modern technology stack with opportunities to contribute to open-source projects. Advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. Why Join Us Our leadership team has strong experience in knowledge management and AI. We have raised more than $60 million in funding and achieved three years of continuous 3x growth. Our work is guided by these core values: Quality: We aim for excellent craftsmanship and high standards in everything we build. Momentum: We take initiative and keep projects moving forward. Accountability: We take responsibility, give honest feedback, and support each other. Hard Work: We believe difficult goals require dedication and teamwork. Learning Agility: We stay curious, learn from mistakes, and keep improving. Adapt and Thrive: We accept change and see challenges as opportunities. Win Together: We succeed as a team through honesty, openness, and shared commitment.

🏢 Summary: Senior backend engineering role focused on building scalable AI infrastructure, APIs, and distributed systems powering LLM-based products. The position involves architecting retrieval, orchestration, streaming, and secure data processing pipelines for production-grade AI systems. Candidates are expected to work hands-on with Python backend technologies and AI integrations in a fast-changing startup environment. 🗂️ Requirements: 7+ years building production backend systems, 6+ years of Python experience, 3+ years of FastAPI experience, 2+ years of Redis experience, Experience with PostgreSQL and SQL, Experience delivering LLM systems, Knowledge of RAG, tool-calling, or AI agents, Experience with async and distributed workloads, Ability to design scalable APIs and services, Understanding of data security and isolation, Experience with integrations such as email or document stores, Ability to work in a changing startup environment 📃 Skills: Python, FastAPI, PostgreSQL, SQL, Redis, LLM, RAG, LangChain, LlamaIndex, APIs, Embeddings, Streaming, Tool-calling 🏢 Description: About the role You'll lead the backend that drives the AI features — the APIs, the data pipelines, and the orchestration that connects the product to the language models doing the actual work. In practice that's querying across large document sets, getting trustworthy answers out of LLMs and their tool calls, pushing results to the UI as they stream, and grinding through lengthy background jobs without the whole thing toppling over. Forget CRUD. The real difficulty is making AI systems fast and reliable on confidential data, at production scale. The architecture choices land on you early, and you'll be the one living with them. What you'll do - Architect and ship the APIs and services that everything else depends on - Own the AI plumbing end to end: retrieval, orchestration, tool-calling, streaming, and the evals that tell you whether the results are worth anything - Make async and distributed workloads rock-solid — document ingestion, embeddings, and long jobs running on Redis - Wire up integrations with what clients already use (email, document stores) and harden them for real-world traffic - Put data security and isolation front and center, because clients are handing over material they can't afford to leak Who you are - Seven years or more delivering production backends — though how deep you go matters more to us than the figure itself - You think in failure modes, not just the happy path - You've shipped genuine LLM systems (RAG, tool-calling, agents), or you can't wait to — and you've got a feel for where they fall apart - You lean on AI coding tools (Claude Code, Cursor, Copilot) and get real value from them: more speed, yes, but you grasp and back every line — code you'd reject in someone else's review is code you won't merge in your own - A startup that keeps changing course doesn't faze you — plans get set, then torn up and redrawn Tech stack experience - Python: 6+ years - FastAPI: 3+ years - PostgreSQL / SQL - Redis: 2+ years Nice to have - RAG or vector search experience - LangChain or LlamaIndex