AI Technical Lead

🏢 Summary: Role combining product management, business analysis, and delivery coordination for software projects, with ownership of product vision, client collaboration, and Agile processes across the full development lifecycle. Focused on translating business goals into actionable plans and driving AI-driven product initiatives. 🗂️ Requirements: Minimum 3 years of experience in IT in Project Management, Product Owner, Product Manager, or Business Analyst role, Hands-on experience delivering software solutions from design to delivery, Experience across product development lifecycle with coordination or leadership responsibilities, Practical knowledge of Agile software development, Experience facilitating workshops such as Design Sprint or Discovery, Ability to work with data and metrics for decision-making, Experience adapting project workflows to changing tools and team dynamics, Fluent English (B2 or higher), Experience using AI tools in daily work 📃 Skills: Agile, Scrum, Jira, ChatGPT, Claude, Perplexity, NotebookLM, AI, KPIs, ROI 🏢 Description: Join Our Journey at Vazco! ⛵ At Vazco, we build products that deliver real value - not just software. We combine product thinking with technology to create scalable, AI-driven solutions for startups, scale-ups, and enterprises. We stay close to both business goals and user needs, working across the full product lifecycle - from discovery to delivery. Our non-hierarchical culture means open communication, real ownership, and space to influence how we work. Now, let’s see what else makes joining our Crew so exciting! ⛵ About your future role As a Product & Delivery Specialist, you’ll work at the intersection of product, delivery, and client collaboration. This is a role for someone who wants to shape decisions - not just coordinate execution. You’ll be supported by an experienced PM team, while gradually taking ownership of your own areas. Depending on the project, you’ll move between Business Analysis, Product Management, and Scrum facilitation. Working across different projects, you’ll gain exposure to diverse challenges, take end-to-end ownership, and continuously grow - both in delivery and product thinking. Your responsibilities Support clients in defining the product vision and strategy, and ensure it's clearly communicated within the team. Help translate business goals into actionable plans and measurable KPIs. Work with project budgets and support efficient resource management. Facilitate workshops and discovery sessions, driving alignment on product direction between the team and client. Define stakeholder needs and manage expectations in line with the product strategy. Conduct market and competitive analysis to inform product decisions. Collaborate with the team to assign tasks and resolve challenges effectively. Work with subcontractors and partners to ensure high-quality delivery. Develop your understanding of ROI and learn to communicate the business value of delivered work to clients. Are we a match? At least 3 years of experience in IT as a project management or related role (e.g. Product Owner, Product Manager, Business Analyst). Hands-on experience working on software solutions - from design through delivery. Exposure to different stages of the product development lifecycle, with some experience in coordinating or leading parts of it. Experience in reviewing and adapting project workflows in response to changing tools, team dynamics, or delivery challenges Experience in reviewing and adapting project workflows in response to changing tools, team dynamics, or delivery challenges A solid understanding of Agile software development (both theory and practice). Experience contributing to or facilitating workshops such as Design Sprint or Discovery phases. Ability to work with data and metrics to support decision-making, and understanding of how to communicate business value to stakeholders. Strong interpersonal and communication skills. Fluent English (B2 or higher) - you'll collaborate daily with clients from all over the world. Strong self-organization and accountability - you take ownership of your actions and outcomes. Confidence in expressing opinions and negotiation skills. Experience using AI tools (e.g. ChatGPT, Claude, Perplexity, NotebookLM) in day-to-day work, and a strong willingness to work with AI-driven products. Nice to have Exposure to projects involving AI solutions. Experience in working with Jira . A certificate to prove your Agile/Scrum skills. Other Project Management methodologies . Perks & Benefits Team-building & Company Events - After a day of focused work, there's nothing better than having a much-deserved mental break from responsibilities. Even better when it involves your pals! Be it a go-kart race with your team, a chill session of board games , or a couple of days in Prague - we do whatever fits our fancy. 🕺 Flexible working hours - Flexible working hours are not about being able to start your work within a specific timeframe. It's about maintaining the work-life balance you deserve . We have no strict "office hours" and embrace your early bird or night owl lifestyle. When you need to take a pause or manage your affairs, it's fine by us. However, we expect you to deliver the work on time and stay responsive on Slack if your colleagues need you (11-15 p.m.). 📲 Training budget - Whether it comes to AWS, Domain-Driven Development, Public Speaking training, and many more, we can match you with the best tutors 🧑‍🎓. Show us the direction you'd like to grow in, and we'll go above and beyond to meet your expectations. Personal branding - Build your true Pro status through blogging & social media activity as a company ambassador, your speeches at various conferences and meetups , hosting workshops , and participating in other exciting initiatives. Do it all with our backup. 🤝 Turquoise culture - you’ll have real influence over the shape of your role, a clear path for growth, and a meaningful voice in how the whole company evolves. We treat your CV as a starting point - not the final word. What matters most to us is how you think, solve problems, and approach real challenges, not just what’s written on paper. That’s why our process begins with a short recruitment task. It’s a chance for you to show your skills in practice and for us to better understand how you work.

🏢 Summary: Senior Full Stack & AI TypeScript Developer role focused on building AI-driven applications using modern TypeScript technologies and GenAI solutions. The position involves developing scalable products, integrating AI models and RAG workflows, and collaborating with cross-functional teams in a remote-first environment. 🗂️ Requirements: 5+ years of commercial software development experience, 1+ year of experience with AI solutions, TypeScript expertise, Next.js expertise, React expertise, Node.js expertise, Knowledge of software development best practices, Experience integrating AI models into production, Experience with vector databases, Ability to design and implement RAG workflows, Experience with CI/CD, Experience with DevOps practices, Ability to translate business needs into technical requirements, English proficiency minimum B2, Polish proficiency minimum B2 📃 Skills: TypeScript, Next.js, React, Node.js, GenAI, Pinecone, Chroma, MongoDB, Postgres, RAG, CI/CD, DevOps, GraphQL, Apollo, Python, ReactNative, Meteor 🏢 Description: Join Our Journey at Vazco! ⛵ At Vazco, we thrive on exploring cutting-edge technologies, charting new paths, and challenging the status quo. We work on innovative software solutions that create a tangible impact and deliver exceptional value to our clients worldwide. Are you passionate about developing top-quality software and AI solutions for startups, scale-ups, and enterprises? Do you also find joy in contributing to Open Source communities or supporting non-profit initiatives? With Vazco, you don't have to choose - we offer opportunities to do it all! You will find yourself in an authentic and transparent company culture, underpinned by our non-hierarchical structure and open communication with everyone. About Your Role As a Senior Full Stack & AI TypeScript Developer (yup, that's a pretty long title) you will be at the forefront of innovative projects, blending traditional software development with state-of-the-art AI technologies. You will collaborate closely with skilled AI-UX Designers, QA Specialists, Product Managers, and other like-minded developers to create solutions that leverage AI effectively. Are We a Match? We are looking for someone who has: 5 years of commercial experience, including at least 1 year spent working directly with AI solutions. Solid expertise with our tech stack: TypeScript, Next.js, React, Node.js. Strong knowledge of software development best practices with a dedication to high-quality standards. Good understanding of AI and GenAI concepts , including hands-on experience integrating AI models into production environments. Experience using vector databases (e.g. Pinecone, Chroma ) and/or databases with vector capabilities ( MongoDB, Postgres ). Ability to design and implement Retrieval Augmented Generation ( RAG ) workflows. Proven experience with CI/CD and general DevOps practices. Proactive attitude towards learning and adopting new technologies. Capability to convert business needs into technical requirements. Fluent communication skills in both written and spoken English and Polish (min. B2 level). Nice-to-Haves: The following are beneficial, but if you don't have them yet, we'll help you grow into these areas. Experience with React Native, Meteor, GraphQL, Apollo . Proficiency in Python , particularly in AI libraries. Experience with mitigating AI-related security threats and red teaming techniques. Contributions to Open Source projects. Previous experience in software agencies or startup environments. Experience in leading greenfield projects from the ground up. Active participation in tech communities through meetups, conferences, or tech blogging. Your Key Responsibilities: Leading the development of cutting-edge, AI-driven applications and other innovative projects. Identifying optimal methods to integrate AI-UX principles within our products. Working with our versatile tech stack, which features TypeScript, Node.js, React, Next.js, GraphQL, MongoDB, React Native, Meteor, and many more. We’re looking for someone eager to expand their expertise as our tech stack grows. Ensuring high-quality code and actively conducting detailed code reviews. Promoting knowledge-sharing and actively contributing to a collaborative team environment. Perks & Benefits Remote-first approach - Have you ever woken up at 5 a.m., skipped breakfast to get to the office on time, and then got stuck in traffic for 2 hours? These times are gone for our Crew. This role is 100% remote 🏠; however if you would like to work on-site, drop by our office in Wrocław. Team-building & company events - After a day of focused work, there's nothing better than having a much-deserved mental break from responsibilities. Even better when it involves your pals! Be it a go-kart race with your team, a chill session of board games , or a couple of days in Prague - we do whatever fits our fancy. 🕺 Flexible working hours - Flexible working hours are not about being able to start your work within a specific timeframe. It's about maintaining the work-life balance you deserve . We have no strict "office hours" and embrace your early bird or night owl lifestyle.When you need to take a pause or manage your affairs, it's fine by us. 📲 Personal branding - Build your true Pro status through blogging & social media activity as a company ambassador, your speeches at various conferences and meetups , hosting workshops , and participating in other exciting initiatives. Do it all with our backup. 🤝

🏢 Summary: Senior AI-native full-stack engineer role focused on building and owning production-grade agentic systems end-to-end, from architecture to deployment and on-call. The position involves developing multi-agent workflows, RAG pipelines, and AI infrastructure, as well as delivering client-facing B2B solutions on top of an internal agent platform. Strong ownership, hands-on LLM production experience, and full-stack execution across frontend, backend, and cloud infrastructure are required. 🗂️ Requirements: 5+ years of production software engineering experience, 1-2+ years building and operating LLM systems in production, Experience deploying agentic systems with real users, Strong full-stack development experience, Hands-on experience with LLM APIs, RAG, prompt engineering, Experience with at least one agentic framework or custom orchestration, Ability to design, ship, and maintain systems end-to-end, Experience with cloud infrastructure and production deployments, Strong written English 📃 Skills: TypeScript, React, Node.js, Python, PostgreSQL, AWS, Anthropic, OpenAI, LangGraph, CrewAI, RAG, LLM, APIs, SQL, VectorDB 🏢 Description: Who we are AgentX is a platform for building and running production AI agents — and a team that ships real systems on top of it for clients who need more than a demo. The platform is the infrastructure: orchestration, memory, tools, evals, deployment — the layer that makes agentic systems actually work in production, not just in a notebook. On top of it, we build end-to-end solutions for our clients. One of the systems running on AgentX today is KsięgoBoty — a multi-agent product used daily by hundreds of Polish accounting firms. Paying customers, production load, real consequences when something breaks. We've also done to ourselves what we build for others: restructured how we work around AI tools, agent-first architectures, and a delivery model that doesn't need a Jira layer between thinking and shipping. This isn't theory — it's how we operate every day. Who we're looking for A senior engineer who owns outcomes, not tasks. This isn't a role for someone who's shipped "an LLM demo at a hackathon." We need someone who has already put agentic systems into production — with real users, real edge cases, real 2am Slack messages when something goes sideways. If you need a PM to translate the problem, a Jira board with three rounds of grooming, and acceptance criteria to tell you what "done" means — this isn't for you, and that's fine. If instead you read a Slack message like "accountants are losing 2 hours a day reconciling this" and your brain immediately jumps to "okay, what does the user actually need, what's the simplest thing that works, and how do we ship it" — keep reading. You'll own problems end-to-end. Frontend, backend, the agent layer, the deploy, the follow-up when a customer hits something weird. You decide what to build, you build it, you ship it, you watch what happens. And you get that this actually matters. On the other end of every feature there's an accountant closing books at 9pm, a firm owner trying to keep their business running. It's not just code. What "AI-native" actually means here Not "I've used ChatGPT." We mean: Claude Code / Cursor / Codex is your IDE , not a plugin you switch on when you feel like it. You know when "accept all" is safe and when it absolutely isn't. You have strong opinions on agent orchestration — when to reach for LangGraph/CrewAI/Agno vs. when to write 50 lines of plain Python that work better. You understand production reality of LLM systems — guardrails, evals, observability, retry logic, cost control, what to do when a model is non-deterministic in a way that breaks your contract with the user. You can tell when a model is the wrong tool and reach for code instead. For you, AI is a tool — not the point. What you'll actually own Agentic systems in production — multi-step workflows, RAG pipelines, agent orchestration. From architecture decision to deployment to the 3am on-call when something drifts. The AgentX platform itself — the primitives, the orchestration layer, the evals, the deployment story. You're building the thing that makes every client engagement faster and more reliable than the last. Full-stack client solutions on top of AgentX — TypeScript/React on the frontend, Python on the backend, integrated with LLM providers (Anthropic, OpenAI, others as they come). Infrastructure that holds up — Postgres, AWS, vector stores, ingestion pipelines, the unsexy layer that makes everything else possible. Quality standards for AI systems — you help us define what "good" looks like. Evals, guardrails, failure modes. Because "mostly right but wrong in scary ways" is not a feature. Our stack TypeScript, React, Node.js, Python, PostgreSQL, AWS, Anthropic + OpenAI APIs, agentic frameworks. You don't need every box ticked — you need to be the kind of specialist who picks up unfamiliar pieces quickly and confidently. What we expect (must-haves) 5+ years shipping production software , at least 1-2 of them with real LLM systems in production — not side projects, not demos Strong full-stack background — you're comfortable owning from frontend to infra, even if your center of gravity is one side AI-native coding workflow — Claude Code, Cursor, Codex, whatever — as your daily driver Hands-on with LLM APIs, RAG, prompt engineering, and at least one agentic framework (or you've built your own orchestration and have opinions on why) Strong written English — you'll communicate with clients, partners, and async teammates Ability to run a project from discovery to delivery with minimal supervision — we'll align on outcomes, you'll figure out how Nice-to-have Experience building B2B SaaS for non-technical users (SMBs, professional services) Voice agents, real-time systems (LiveKit or similar) Accounting / fintech / regulated domain exposure How we work Fast pace, but Monday to Friday. Weekends are yours. We don't do crunch, we don't do fake urgency, we don't do meetings that could've been a message. We'd rather ship steadily for years than sprint for six months and lose you. Direct line to the founder. Direct line to clients. No process layer between you and the work. Small team, real decisions, real ownership. The honest pitch Real ownership of real product areas — not a seat on a feature factory Frontier work — you're building both the platform that makes production agents work and the client systems running on top of it Compensation that reflects seniority — 14 000 – 25 000 PLN netto + VAT (B2B), with room above for someone exceptional Fully paid AI stack — Claude Max, Cursor, whatever you need to work at full speed Remote-first , flexible hours, Poland-based No filler meetings, no Jira bloat — we measure shipped systems in production, not hours logged Push back on the founder when he's wrong. He will be, regularly. How the process works 1. You send us stuff recruitment@agentx.so Your CV — yes, we read them One thing you built end-to-end you're proud of — and what you'd change about it today One AI product (yours or someone else's) you think is genuinely good, and why Your take: a client says our agent is "mostly right but wrong in ways that scare them." What do you do first? 2. We reply within 2-3 days — either "let's talk" or "not this time, here's why." No black hole. 3. We meet — 30-45 min call with the founder. We talk about your work, you ask us hard questions. If the chemistry isn't there, no hard feelings. 4. Problem-solving session (top 2-3 candidates) — we give you a real problem we're working on. You come back with how you'd approach it: your thinking, your trade-offs, your questions. We're not watching over your shoulder. We want to see how you think. 5. Decision within 2-3 days. If yes — you start when you're ready. Tomorrow, next week, after notice period. Your call.

🏢 Summary: Backend Engineer role focused on building and scaling the core architecture behind AI Agents, including reasoning layers, RAG systems, and high-volume conversational infrastructure. The position involves designing agentic orchestration, modernizing legacy systems, and integrating AI capabilities into scalable microservices running in production. You will work hands-on with LLM integrations, vector databases, and cloud-native infrastructure to support millions of daily conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on expertise in Node.js, Strong hands-on expertise in TypeScript, Experience with async programming, queues, and streams, Experience with real-time communication (WebSockets, service-to-service messaging), Commercial experience implementing RAG and Agentic systems in production, Experience with Function Calling and LLM integrations, Deep understanding of context management and multi-turn conversations, Experience with SQL databases (PostgreSQL), Experience with NoSQL databases (Elasticsearch), Experience with Vector Databases and embeddings, Experience with Google Cloud Platform, Experience with Kubernetes, Ability to design and maintain RESTful APIs, Experience working with microservices and scalable systems 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, LangGraph, LLMs, RAG, MCP, PubSub, WebSockets, SSE, Webhooks, Prometheus, Grafana, Vitest, Supertest, Playwright, Go, ETL, Microservices, Concurrency, Async, Streams, Queues, GitHubActions 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.

🏢 Summary: Senior Backend Engineer role focused on building and scaling the core AI backend powering advanced AI Agents, including reasoning layers, RAG systems, and real-time integrations. The position involves designing scalable architectures, implementing agentic orchestration with tool calling, and modernizing legacy systems into a high-performance AI ecosystem. You will work hands-on with Node.js and TypeScript to deliver production-ready AI-driven features handling millions of conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on Node.js experience, Strong hands-on TypeScript experience, Fluency in async programming, queues, streams, Experience with WebSockets and async messaging, Commercial experience implementing RAG systems, Experience with Function Calling in production, Experience building Agentic systems, Context window and multi-turn conversation management, Experience with SQL and NoSQL databases, Experience with Vector Databases and embeddings, Experience with GCP and Kubernetes, Experience with microservices architecture, Experience with Docker-based deployments 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, PubSub, WebSockets, SSE, LLMs, LangGraph, RAG, MCP, GitHub, Prometheus, Grafana, Vitest, Supertest, Playwright, Go 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.

🏢 Summary: Staff Forward Deployed Engineer responsible for designing and deploying advanced agent-based AI and RAG solutions using the Workato Agentic AI platform. The role focuses on building scalable, autonomous AI workflows, integrating enterprise systems, and delivering tailored AI-driven automation solutions for customers. It combines AI engineering, integration architecture, and hands-on development in complex enterprise environments. 🗂️ Requirements: BTech/BE or higher in Computer Science, AI, ML, or related field, 12+ years experience in design, development, and implementation, Minimum 1 year hands-on experience with Workato, Proven experience in AI engineering with agent-based systems, Experience designing and implementing scalable AI-driven workflows, Hands-on experience in integration projects and automation technologies, Strong knowledge of RESTful and SOAP/XML APIs, Strong understanding of JSON and data structures, Experience with RDBMS or NoSQL databases, Hands-on programming experience in Java or Python or Ruby 📃 Skills: Workato, AI, MachineLearning, LLM, RAG, APIs, REST, SOAP, JSON, RDBMS, NoSQL, Java, Python, Ruby, Microservices, SOA, ESB, BPM, RPA, iPaaS, SaaS, Cloud, TIBCO, MuleSoft, DellBoomi, Workday, NetSuite, Salesforce, ServiceNow, Marketo 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an experienced Staff Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience, and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams. Workato has a positive, diverse, and collaborative culture—we look for people who are curious, inventive, smart, hardworking, and work to be a little better every day. Workato has also been recognized amongst the “Top 47 Enterprise Startups to Bet Your Career On in 2020”, the “Hottest 13 Productivity Software Startups to Watch in 2020!”, and the “Top 15 Startups helping even non-programmers build simple apps, ahead of an expected software developer shortage” by Business Insider. In this role, you will also be responsible for: Implement agent-based AI solutions using the Workato Agentic AI platform Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs) Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform Continuously monitor and improve AI system performance, ensuring efficiency and reliability Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise Assist the Product Manager in creating technical and design specifications, ensuring alignment with product goals and user needs Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences Requirements Qualifications / Experience / Technical Skills BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field A total of 12+ years of relevant experience in design, development, and implementation, with at least 1 year of experience in Workato, is a must Proven experience in AI engineering, with a focus on agent-based systems Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL Hands-on experience with any of the following: Java, Python, or Ruby Technical background or a solid understanding of technology and industry trends, especially in the app integration space Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus Soft Skills / Personal Characteristics Strong collaboration skills, ability to adapt to a dynamic startup environment with a passion for making an impact Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset Ability to effectively prioritize tasks and manage time, even under high-pressure situations Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge (REQ ID: 2447)

🏢 Summary: Mid-level React/TypeScript Engineer role focused on building and owning production-grade frontend applications (dashboards, operator panels, customer apps) on top of AI agent systems. The position involves close collaboration with backend services and active use of AI coding tools while maintaining strong engineering judgment and code quality. You will take full ownership of features from design to deployment in a production environment with real users. 🗂️ Requirements: 3–5 years commercial experience in frontend development, Strong proficiency in TypeScript, Deep understanding of React and rendering lifecycle, Experience building scalable frontend architectures, Experience integrating with REST APIs and authentication systems, Ability to work with backend technologies (Node.js or Python), Experience with state management and data synchronization, Proficiency with Next.js, Experience working with MongoDB, Experience deploying or working with AWS, Ability to use AI coding tools critically and effectively 📃 Skills: TypeScript, React, Next.js, Tailwind, Node.js, Python, MongoDB, AWS, REST, Claude, Cursor, MCP 🏢 Description: Who we are AgentX is a platform for building and running production AI agents - and a team that ships real systems on top of it for clients who need more than a demo. The platform is the infrastructure: orchestration, memory, tools, evals, deployment - the layer that makes agentic systems actually work in production. On top of it, we build end-to-end solutions for our clients. One of the systems running on AgentX today is KsięgoBoty - a multi-agent product used daily by hundreds of Polish accounting firms. Paying customers, production load, real consequences when something breaks. We're small, technical, AI-heavy, and we ship. Who we're looking for A solid React engineer who actually understands what's happening under the hood, and uses AI tools daily without outsourcing their brain to them. You'll join the team that owns the user-facing layer of our products: the dashboards, the operator panels, the customer-facing apps that sit on top of the agents. We need someone we can trust to take a feature, build it well, and ship it without it coming back broken three days later. This isn't a flashy role and we're not looking for a flashy person. We need craftsmanship. If you read a ticket and your first instinct is "what's the data model, what's the component structure, where does state actually live" - keep reading. If your first instinct is "I'll just vibe-code it with Cursor and hope the PR passes" - this isn't for you, and that's fine. What we mean by "good React engineer" You write TypeScript well: types help you, they don't slow you down You understand React deeply enough to debug a re-render problem without guessing You can structure a non-trivial frontend so it doesn't turn into a tangle in six months You've worked with a real backend: REST, auth, data sync, edge cases — and you can hold both ends of a feature in your head You read other people's code carefully and review like an adult: kindly, but honestly You are comfortable using AI tools daily, but you do not outsource your judgment to them You know how to check AI-generated code instead of trusting it because it “looks right” ~3–5 years of commercial experience is roughly where we expect this person to sit. Less is fine if you're sharp; more is fine if you actually want a Mid role. How we work with AI We use AI heavily. Claude Code, Codex, Cursor, MCP, agent workflows: they're a normal part of how we work, the same way Git or Docker is. You'll be expected to use them the same way: not as a gimmick, not as a shortcut around understanding the codebase, but as leverage. That means: break work into clear chunks, guide the tools through implementation, review their output critically, fix what's wrong, and own the final result. You should be faster with these tools than without them - and you should know exactly where they're about to lie to you. AI doesn't turn a bad engineer into a good one. It just makes them ship faster, which is worse. So: We do not want people who only know how to prompt. We also do not want people who proudly refuse to use AI and treat it like autocomplete with better marketing. The right person sits in the middle: strong fundamentals, strong taste, strong ownership - multiplied by modern AI tooling. What you'll actually own Frontend, day-to-day. React, TypeScript, Tailwind, Next.js. Real product surfaces - operator dashboards, customer panels, internal tools that real people use to do real work. Fullstack when needed. You won't live exclusively in the frontend. Node/Python on the backend when a feature needs it - you don't have to be an expert, but you have to be willing. Quality. The thing you ship works, doesn't break the next thing, and doesn't make the codebase worse. We notice this. Working with the team. Code reviews, architecture decisions - we figure out the harder calls together. You're not coding in a vacuum. The stack TypeScript / React / Next.js · Tailwind · Node.js · Python (some) · MongoDB · AWS · Claude / Cursor / MCP for tooling. We don't use Go. Nice-to-have (not required) You've built a side project that you actually shipped, not just started You've worked with LLM APIs in production (not "I made a chatbot in a tutorial") You care about UX - not as a designer, but as someone who notices when something feels wrong What we offer 13 000 – 18 000 PLN netto + VAT, B2B Remote-friendly, Poland-based A small team that ships and doesn't waste your time Direct work with the founders - no Jira theater, no three-round groomings, no PM filtering your ideas Modern AI tooling fully paid for (Claude Max, Cursor, Codex, whatever helps you work better) Real ownership of the frontend layer of a product people use every day How the process works 1. You send us stuff recruitment@agentx.so Your CV — yes, we read them One thing you built end-to-end you're proud of — and what you'd change about it today One AI product (yours or someone else's) you think is genuinely good, and why Your take: a client says our agent is "mostly right but wrong in ways that scare them." What do you do first? 2. We reply within 2-3 days — either "let's talk" or "not this time, here's why." No black hole. 3. We meet — 30-45 min call with the founder. We talk about your work, you ask us hard questions. If the chemistry isn't there, no hard feelings. 4. Problem-solving session (top 2-3 candidates) — we give you a real problem we're working on. You come back with how you'd approach it: your thinking, your trade-offs, your questions. We're not watching over your shoulder. We want to see how you think. 5. Decision within 2-3 days. If yes — you start when you're ready. Tomorrow, next week, after notice period. Your call.

🏢 Summary: Offer for an experienced Software Engineer to build AI-first applications and advanced agentic systems using modern LLM frameworks, with strong ownership over architecture and delivery. The role focuses on developing RAG-based solutions and integrating large language models into production systems in collaboration with US partners. 🗂️ Requirements: Strong hands-on proficiency in Python, Commercial experience with LangChain, LangGraph, or CrewAI, Experience integrating large language models (OpenAI, Anthropic, Azure OpenAI), Practical experience with Vector Databases, Strong understanding of RAG architecture, Experience designing and building REST APIs, Ability to independently own end-to-end technical delivery 📃 Skills: Python, LangChain, LangGraph, CrewAI, OpenAI, Anthropic, Azure, RAG, REST, APIs, VectorDB, LLM 🏢 Description: Zaven is a software company from Wrocław, Poland. We build high-quality custom software for essential industries. Our focus is on practical results and trusting our people, not on strict rules or long processes. If you want to work with smart teams to build important software, and you want to avoid big company bureaucracy, this is the place for you. We are looking for an experienced Software Engineer for whom AI is not just a trendy buzzword, but a practical tool for building advanced products. You will join a team dedicated to creating intelligent, AI-first applications, working in close collaboration with our partners in the USA, and will have a real impact on the architecture and delivery process — we are looking for someone with a strong sense of ownership. If you are passionate about building agentic systems and working with cutting-edge Language Models, you are exactly the person we are looking for. What exactly will you be doing?: Developing advanced AI agent systems and co-agent frameworks utilizing LangChain, LangGraph, or CrewAI. Building and refining RAG (Retrieval-Augmented Generation) systems designed to process complex compliance and operational documentation. Designing and implementing dedicated AI-first applications along with smart integrations between various systems and APIs. Required Skills & Experience: Python Mastery: Strong, hands-on proficiency in Python as your primary programming language. AI Frameworks: Commercial experience with LangChain, LangGraph, or CrewAI. LLM Integrations: Proven track record of integrating large language models (OpenAI, Anthropic, Azure OpenAI). AI Infrastructure: Solid understanding and practical experience with Vector Databases and RAG architecture. Backend / API: Experience in designing, building, and integrating REST APIs. Delivery Ownership: High level of autonomy, proactivity, and end-to-end responsibility for the technical delivery of features. Nice to have: Cloud Platform: Hands-on experience with the Microsoft Azure environment. Data Platforms: Familiarity with Microsoft Fabric and Databricks.

🏢 Summary: Python AI Engineering role focused on building production-grade GenAI, RAG, and agentic systems for client engagements. The position involves end-to-end ownership of AI solutions, including architecture, delivery, evaluation, and client communication in a fast-paced consulting environment. Candidates will work with scalable APIs, LLM pipelines, and cloud AI services while ensuring quality, observability, and performance. 🗂️ Requirements: 5+ years commercial Python experience, 3+ years hands-on GenAI/LLM engineering, Experience building scalable services and APIs, Experience with FastAPI, Flask, or Django, Experience writing test suites with pytest, Experience building RAG pipelines, Knowledge of embeddings and vector search, Experience with agentic workflows and tool-calling, Strong prompt engineering skills, Experience with structured outputs and JSON schemas, Experience with Pydantic or equivalent, Experience with AWS, Azure, or GCP, Understanding of managed AI/ML services, Ability to evaluate relevance, latency, consistency, and cost, High-proficiency written and spoken English 📃 Skills: Python, GenAI, LLM, FastAPI, Flask, Django, pytest, RAG, Embeddings, VectorSearch, ToolCalling, PromptEngineering, JSON, Pydantic, Instructor, AWS, Azure, GCP, Bedrock, OpenAI, LangGraph, LangSmith, LlamaIndex, Pinecone, Weaviate, Milvus, pgvector 🏢 Description: We're growing our Python AI Engineering team - the group that builds GenAI systems clients actually run, not proof-of-concepts that die after the demo. Expect real agentic/RAG systems, real users, and evaluation data that tells you whether what you built actually works. Depending on fit and timing, you'll be matched to one of several active or upcoming client engagements - each with its own domain, constraints, and stack, but the same bar for engineering quality. You are a good fit for the role if... You default to shipping, not just designing - a proactive, "getting things done" attitude in a fast-paced, client-facing setup where the interesting problems rarely come pre-scoped in a ticket. You own the AI lifecycle end to end - ideation, architecture, delivery, evaluation - and you're comfortable being the technical voice in the room: proposing the approach, defending it with data (evals, latency, cost), and adjusting it when the data says you're wrong. You can translate engineering constraints into terms a client stakeholder acts on - not just "this won't scale" but why, what the tradeoff actually costs them, and what a workable alternative looks like. Good technical judgment shows up as much in how you explain a constraint as in identifying it. You treat client pushback as a design input, not an obstacle - sometimes it reveals a real business constraint you were missing, sometimes it's a shortcut worth resisting. Telling those two cases apart, and being able to argue either side with evidence, is the actual skill. Our expectations 5+ years commercial Python experience, including 3+ years of hands-on GenAI/LLM engineering. Solid engineering fundamentals: building scalable services/APIs (FastAPI, Flask, or Django), writing real test suites (pytest), clean and modular architecture. Hands-on experience building RAG pipelines - retrieval, embeddings, vector search. Working knowledge of agentic patterns: tool-calling, function-calling, multi-step reasoning workflows. Strong prompt engineering skills, including structured outputs (JSON schemas, Pydantic, Instructor or equivalent). Experience with at least one major cloud platform (AWS, Azure, or GCP), including its managed AI/ML services (e.g., Bedrock, Azure OpenAI). An "evals mindset" - you think about relevance, consistency, latency, and cost as real engineering concerns, not afterthoughts. High-proficiency written and spoken English - you'll use it daily with clients and teammates. Welcome Skills Experience with orchestration frameworks beyond the basics - LangGraph, LangSmith, LlamaIndex. Hands-on with a specific vector database (Pinecone, Weaviate, Milvus, pgvector) beyond "I integrated one once." Experience building evaluation frameworks or golden-dataset pipelines specifically (as opposed to just using one). Exposure to data pipeline work feeding AI systems - understanding how data quality/freshness affects model behavior. Prior client-facing / consulting experience in a professional-services or consulting setup. Key tasks Design and build Python services and APIs that wrap LLM-powered functionality. Build and maintain agentic and RAG pipelines: retrieval, reranking, tool-calling, multi-step reasoning, structured outputs. Care about quality beyond "it works" - evals, observability, and the data that tells you when something regresses. Work directly with clients: translate fuzzy business requirements into architecture decisions, and explain your technical tradeoffs to non-technical stakeholders. Work across a distributed, multi-market team and client organizations.

🏢 Summary: Senior AI Engineer role focused on designing and building AI Agentic systems within complex, production-grade platforms. The position combines hands-on full-stack development (with backend ownership) and architectural leadership to deliver scalable, enterprise-ready LLM-based solutions. The role involves close collaboration with clients and cross-functional teams across the full AI system lifecycle. 🗂️ Requirements: Strong full-stack experience with NodeJS, Strong full-stack experience with TypeScript, Minimum 1 year experience in AI Engineering role, Experience with AI Agentic technologies and architectures, Understanding of RAG and Multi-Agent concepts, Understanding of MCP Servers and LLM-based systems, Hands-on experience with LLM APIs or SDKs, Experience with LangChain or LlamaIndex, Experience with AWS, Azure, or GCP, Experience with CI/CD pipelines and DevOps practices, Experience with REST APIs, Experience with database integration, Senior-level experience in system design and architecture, Ability to design AI-driven systems within enterprise architectures, Fluency in English 📃 Skills: NodeJS, TypeScript, LLM, RAG, LangChain, LlamaIndex, OpenAI, Anthropic, AWS, Azure, GCP, CI/CD, REST, SQL, MCP 🏢 Description: Hi there! 👋🏻 We’re Tooploox 💎 , part of Solvd Inc . We create AI-powered products and services that make a real difference. Our team of nearly 200 specialists - including a 40+ person R&D team with many PhDs - has pioneered AI solutions across industries from healthcare to e-commerce. We’ve published research in top-tier venues like NeurIPS and ICML, while delivering real-world applications that help our clients innovate and scale. Now, as part of Solvd Inc., we’re building on our strengths with even greater global reach and resources - while keeping the creative, human-scale culture that defines us here in Poland. If you want to work on meaningful AI projects, with space to grow and the freedom to innovate, you’ll feel right at home. Feel invited! What you will do: Design and build AI Agentic systems as part of complex, production-grade platforms. Collaborate with cross-functional teams to define architecture and technical direction across the full lifecycle, from early exploration to production. Lead and influence system and architecture discussions while ensuring AI solutions are scalable, reliable, performant, and maintainable in the long term. Act as a trusted technical advisor by challenging assumptions, framing problems clearly, and proposing well-reasoned engineering solutions rather than simply executing tasks. Work hands-on across both backend and frontend, with primary ownership of backend systems. Collaborate confidently in a customer-facing, multi-vendor environment and strengthen our expert positioning through strong technical credibility and clear communication. Experience and skills you need to join us: Strong full-stack experience with NodeJS and TypeScript. At least 1 year of experience in an AI Engineering role . Experience with AI Agentic technologies, architectures, and best practices. Understanding of RAG, Multi-Agent concepts, MCP Servers, and LLM-based systems. Hands-on experience with LLM APIs /SDKs (e.g., OpenAI, Anthropic). Practical experience with orchestration frameworks such as LangChain or LlamaIndex. Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines, DevOps best practices, REST APIs, and database integration. Senior-level software engineering experience with a strong focus on system design and overall architecture. Ability to design AI-driven systems as part of broader enterprise architectures. Strong problem-framing skills and confidence to challenge designs and requirements constructively. Comfort working directly with client engineers and stakeholders in an enterprise, multi-vendor setup. Fluency in English (Polish is a plus). It would be great if you also have: Basic knowledge of machine learning principles. Ability to read and understand Python code. Experience with React. Experience with model fine-tuning, distillation, or LLM evaluation. Experience with Model Context Protocol (MCP). Experience with graph databases or Voice Agent frameworks (e.g. Pipecat). Language-agnostic mindset with comfort across multiple stacks (Java is a strong plus). Experience supporting or mentoring other engineers. What we offer: 🏖️ 26 days of annual service break. 🤒 An additional pool of 14 days per year paid at 80% of your standard rate . 🇬🇧 English lessons once a week or more frequently, depending on your needs. 📚 Access to a curated library of books and e-books, regularly updated based on employee suggestions, plus recurring knowledge-sharing initiatives . 🏡 Flexible hours and the option to work 100% remotely or from one of our offices in Wrocław or Warsaw . 💻 Top-quality equipment – we provide MacBooks, new monitors, noise-cancelling headphones, and any additional gear you may need to work comfortably. 🏥 Group insurance with Warta and private medical care with Enel-Med for just 1 PLN. 🧠 Mental health support – we offer access to a psychologist with fully anonymous consultations if needed. 🏋️‍♂️ Multisport card (we cover most of the cost – your contribution is currently no more than 45 PLN, or less depending on the selected package), access to gyms in our Wrocław and Warsaw offices , and sports initiatives like the annual Bike 2 Work Challenge . 🍕🎮🕺🏻 We host team lunches, webinars, game nights, and social events . We enjoy the occasional barbecue, dance party, time on the terrace, foosball, or PlayStation session.