Mid Full-Stack Engineer (React) — AgentX

🏢 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: Senior Frontend React Developer role focused on building enterprise-grade AI-native Next.js applications with complex state, real-time AI interactions, and scalable frontend architecture. The position involves owning frontend systems end-to-end, including UI design, performance optimization, accessibility, and production reliability. Engineers work closely with AI-driven products and modern tooling in a high-ownership environment. 🗂️ Requirements: 5+ years frontend engineering experience, 3+ years React experience, Modern TypeScript expertise, Production Next.js SSR experience, Knowledge of SSR, SSG, and CSR trade-offs, Complex state management experience, Experience building AI/LLM interfaces, Performance optimization and Core Web Vitals knowledge, Enterprise application development experience, Accessibility and localization knowledge, Security-conscious engineering approach, Daily use of AI coding agents, Clear technical communication skills 📃 Skills: React, TypeScript, Next.js, SSR, SSG, CSR, JavaScript, LLM, AI, CoreWebVitals, Accessibility, Localization, Security, ReactFlow, Highcharts, Node.js, Python, RAG, Codex, Claude, Copilot, GitHub 🏢 Description: About Shelf The enterprise is going agentic and we are creating a unique operating system for an automated future. Most AI agents break the moment they hit real business complexity. That’s why we built a platform that models a company's policies, workflows, and operational logic into an AI Data Model. Shelf enables AI Agents to reliably reason and deliver precise and reliable outcomes at scale. We already have what most AI startups are still trying to earn: Enterprise customers such as Glovo, Nespresso, and HelloFresh, real production data, and tens of thousands of users. Customers trust us with operational knowledge: Our platform is highly reliable and secure with SOC2, HIPAA-ready security practices, and mature integrations in place. Location – Warsaw, work from the office. Senior Frontend React Developer: This role is for a senior frontend engineer who can design and own business-critical user experiences for agentic AI products. We want someone who is strong technically, has strong UI judgment, communicates clearly, and has the taste to make complex product experiences simpler, faster, more trustworthy, and easier to evolve over time. Expect real ownership from frontend architecture through production quality. You will build production Next.js applications with complex state, real-time AI interactions, and multiple layers of enterprise functionality. The team is small enough for engineers to make real decisions. Career growth comes from ownership. Titles matter less than the scope you can carry. The people who grow fastest take responsibility for larger product surfaces, drive customer outcomes, and strive to develop better engineering practices. You solve ambiguous frontend problems by understanding the user need, shaping the right interaction model, then shipping, iterating, and keeping the experience healthy in production. We build AI-native. Engineers use Codex, Claude Code, and agents they build themselves. We invest in harness engineering through skills, CLIs, logs, traces, and orchestration. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission. What You Will Own Design and ship production Next.js SSR applications with complex state, high-load scenarios, and real-time AI interactions at scale Build interfaces for AI-powered features: streaming LLM responses, semantic search across millions of documents, interactive knowledge graphs, and agentic builders Architect component libraries and maintain the design system, ensuring reusability, accessibility, and consistent UX across the platform Deliver enterprise-grade functionality: localization, accessibility compliance, cross-browser support, and security Take full ownership after launch: monitor performance in production, optimize bundle sizes, instrument for Core Web Vitals, and ensure things scale gracefully Keep the bar high on code quality, testing, and craft through thoughtful code review and mentorship What Strong Performance Looks Like You turn vague product problems into shipped, well-reasoned interfaces that users trust Complex AI behavior feels legible and controllable to users because of how you built the UI Your components are reusable, accessible, and fast under real enterprise load You bring momentum. Work moves because you are on it What We Are Looking For Over 5 years of frontend engineering experience, including 3+ years specializing in React and modern TypeScript Production Next.js experience: SSR applications at scale, app router, server components, and the trade-offs between SSR, SSG, and CSR Complex state management for hard scenarios: real-time collaboration, optimistic updates, multi-tenant isolation, large-scale data sync Experience building AI/LLM interfaces: streaming token responses, chat UIs, semantic search, or similar real-time AI interactions High-load performance work: you monitor Core Web Vitals and know how to improve them under heavy traffic and large datasets Enterprise application depth: localization, accessibility, security, and compliance, you understand the complexity beyond "making it work" A security-conscious approach to engineering: you handle sensitive data carefully and think about the security implications of what you ship Strong craft and product instinct: you don't wait for perfect designs, you spot UX issues and propose solutions, and you're never satisfied with "good enough" AI-native working style. You already use AI coding agents daily and are eager to push the boundaries of harness engineering Clear communication. You articulate design decisions and technical trade-offs clearly, verbally and in writing Strong Plus Experience with React Flow, Highcharts, or other complex data-visualization libraries Hands-on experience with vector search UIs, RAG interfaces, or generative UI Understanding of Node.js/Python: you can read backend code and contribute to API design discussions Built or contributed to design systems or open-source component libraries How We Evaluate Fit We care more about craft, ownership, and the ability to make complex AI feel trustworthy than a perfect match to every library on paper. If you are the kind of engineer who can take a messy, complex enterprise problem and turn it into an interface people trust, we want to talk. What Shelf Offers: B2B contract Company Stock Options Hardware: MacBook Pro Modern technical stack. Develop open-source software A strong AI-native engineering environment with modern tools and room to experiment, including Claude Code, OpenAI Codex, and GitHub Copilot Why Shelf Becoming one of the defining companies of the AI age is a hard plan, and our leadership team has the rare mix of deep AI, knowledge-management, and enterprise SaaS experience to actually execute it We have raised over $60 million in funding; our investors include Tiger Global, Insight Partners, Base10, and others Recognized by Gartner as a Cool Vendor, with high-velocity growth powered by the most innovative product in our category We love our customers and our customers love us. Ask a Shelf customer why, and they'll tell you it's our innovative capabilities and rock-solid reliability, that they enjoy working with our people, and most of all, the improvements they see in their business KPIs We're building fast across three hubs: our New York HQ and our Product and Engineering centers in Warsaw and Lviv

🏢 Summary: Frontend Engineer role focused on building and owning the UI layer of production-ready AI products for B2B clients using TypeScript and React. The position involves developing performant, maintainable interfaces, integrating REST APIs, and handling real-time data flows in close collaboration with backend engineers. This is a hands-on role working on client-facing AI systems where usability and reliability are critical. 🗂️ Requirements: 3–5 years of experience building production frontend applications, Strong experience with TypeScript and React, Experience integrating REST APIs, Experience handling asynchronous UI states, Ability to manage authentication, loading, and streaming states, Experience with SSE or WebSockets, Ability to read and debug Python and FastAPI code 📃 Skills: TypeScript, React, Vite, REST, SSE, WebSockets, Python, FastAPI, Tailwind, shadcn 🏢 Description: About Agentica Agentica is an AI automation startup that designs and deploys custom AI products and agents for B2B clients worldwide. The company builds production-ready AI systems that automate and replace manual business processes across helpdesks, internal tools, e-commerce, production, and other high-friction areas. Its team delivers practical agentic AI solutions for clients ranging from cybersecurity software distributors to global Web3 companies. The Role You’ll own the frontend layer of AI products and client projects, working mainly with TypeScript and React. This is hands-on work on production systems where usability, performance, and reliability matter. You’ll work closely with the tech team and be responsible for shipping clean, maintainable UI code ready for client use. What You’ll Do Build and maintain frontend applications using TypeScript, React, and Vite. Collaborate with backend engineers to integrate REST APIs and manage async data flows. Prototype new interfaces with clients in early stages. Implement clean, extensible component architectures. Handle auth states, loading states, and streaming data (SSE / WebSockets). Read and debug Python / FastAPI backends when needed. Guide coding agents while ensuring code quality. What We’re Looking For Clear communication and strong ownership. AI-first mindset and ability to learn quickly. 3–5 years building production frontend applications. Strong TypeScript and React experience. Experience integrating APIs and handling async UI states. Comfortable reading Python / FastAPI code. Nice to Have Tailwind CSS or component libraries (e.g., shadcn/ui). B2B SaaS or enterprise product experience. What We Offer Attractive salary PLN 12,000–20,000 depending on experience. High-ownership projects with real technical depth and steep learning curves. Early-stage leverage: join while the company is scaling fast and shape how it grows. Fully remote or hybrid from our office in central Warsaw. Flexible working hours built around output, not presence. A senior, technically sharp team with hands-on AI and software delivery experience. Apply now and build leading AI products. Join a team that cares about quality, ownership, and real client impact.

🏢 Summary: Mid Frontend React Developer role focused on building AI-powered enterprise web applications using React, Next.js, and TypeScript. The position involves developing scalable user interfaces, integrating backend APIs, and improving performance and usability in collaboration with cross-functional teams. The offer includes access to modern AI development tools, stock options, and work on production AI products used by enterprise customers. 🗂️ Requirements: 2–5 years of frontend development experience, React, JavaScript, TypeScript, Next.js or modern React framework, REST APIs, Asynchronous data fetching, Modern CSS solutions, Responsive design, Cross-browser compatibility, Reusable frontend code, Git, Modern development workflows, AI coding tools, English B2+ 📃 Skills: React, Next.js, TypeScript, JavaScript, REST, Tailwind, CSS, Git, Copilot, ChatGPT, Claude, SWR, ReactQuery, Node.js, Python, Playwright, Cypress, AWS, Highcharts 🏢 Description: About Us Many companies want to use AI agents, but these tools often struggle with real business tasks. We build a platform that helps AI understand company knowledge, workflows, and processes, enabling it to provide accurate and reliable answers. Our technology is trusted by large international companies and integrates with leading AI and cloud platforms. Our mission is to help people find better answers and make better decisions with AI. About the Role We are looking for a Mid Frontend React Developer to help build modern web applications that make enterprise AI intuitive and reliable. You'll work closely with experienced frontend engineers, designers, backend developers, and product managers to create fast, responsive, and scalable user experiences. You'll contribute to new features, improve existing functionality, and gain hands-on experience building AI-powered products used by enterprise customers. What You Will Do - Build and maintain modern web applications using React, Next.js, and TypeScript. - Develop user interfaces for AI-powered features such as chat, search, and knowledge management. - Create reusable UI components and contribute to our design system. - Integrate frontend applications with backend APIs and real-time data. - Improve application performance, responsiveness, and user experience. - Write clean, maintainable, and well-tested code. - Participate in code reviews and collaborate with engineers, designers, and product managers. - Use AI development tools to improve productivity and software quality. - Learn from production feedback and continuously improve existing features. Requirements - 2–5 years of experience building modern frontend applications. - Good knowledge of React, JavaScript, and TypeScript. - Experience with Next.js or another modern React framework. - Experience working with REST APIs and asynchronous data fetching. - Familiarity with modern CSS solutions such as Tailwind CSS, CSS Modules, or CSS-in-JS. - Understanding of responsive design and cross-browser compatibility. - Experience writing maintainable, reusable frontend code. - Familiarity with Git and modern development workflows. - Experience using AI coding tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with React Flow, Highcharts, or similar visualization libraries. - Familiarity with SWR, React Query, or similar data-fetching libraries. - Basic knowledge of Node.js or Python. - Experience working with AI-powered applications, chat interfaces, or search experiences. - Familiarity with Playwright, Cypress, or other frontend testing frameworks. - Basic understanding of accessibility and Core Web Vitals. - Experience with AWS or other cloud platforms. What We Offer - 18,000–23,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - Modern technology stack. - Opportunity to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, v0, MCP Servers, and credits for testing new AI technologies. - The opportunity to work on production AI products used by enterprise customers. - A collaborative engineering culture focused on learning, mentorship, and continuous improvement. Our Values - Quality - We build software with care and attention to detail. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take ownership of our work and communicate openly. - Hard Work - We solve challenging problems together and support one another. - Learning - We stay curious, embrace feedback, and continuously grow. - Adaptability - We welcome change and see new challenges as opportunities. - Teamwork - We collaborate, share knowledge, and celebrate success together.

🏢 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: Early-stage startup seeks a Full Stack Engineer to build the MVP of an agentic AI platform for security compliance using React and FastAPI. You will lead application code development in a small team, contributing to both frontend and backend as well as the foundation of an agent orchestration mechanism. The role offers strong ownership and direct impact on the product architecture. 🗂️ Requirements: Strong experience with React, Strong experience with Python backend development, Ability to work across full stack, Availability for hybrid work in Gdańsk 📃 Skills: React, Python, FastAPI, Django, AWS, Docker, GitHub, CICD, LangChain, PydanticAI, APIs 🏢 Description: We're a funded, early-stage startup building an agentic AI platform for security compliance. The product is new, we're opening an R&D centre in Gdańsk and you'd be one of the first engineers on it, with real input into how it's built. We keep meetings and busywork to minimum to build a culture focused on the needs of developers. The role: You will be part of a 4 people development team focused on the development of the MVP for our main product. React on the frontend, FastAPI on the backend. You will lead the application code, working alongside experienced infrastructure engineer and junior AI engineers. You will also engage in building the foundation of a agent orchestration mechanism. Must Have: Strong experience with React Strong experience with Python backend development FastAPI or Django is a huge plus Comfortable owning features across the full stack Availability for hybrid work in Gdańsk Great to have: Experience with any agentic framework such as Pydantic AI or LangChain AWS Docker GitHub Actions / CI/CD What will happen next? We would like to know you better, so we will invite you for a short call Next, you'll be invited to an interview to discuss your previous projects, skills and where you want to develop Why join: It's a new product, so you're building rather than maintaining. You get real ownership and the chance to work on genuinely new AI, in a calm, focused environment. If you've got the must-haves and the problem interests you, get in touch — you don't need to tick every box.

🏢 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: Paid summer internship (July–September 2026) in production AI development, with possibility of extended cooperation. The role involves working on real client projects and the internal AI platform, contributing production-ready code across the full stack from the first week. Interns gain hands-on experience with modern web technologies, cloud infrastructure, and LLM-based agent systems. 🗂️ Requirements: Status studenta kierunku technicznego, Podstawy programowania w TypeScript lub Python, Własny ukończony projekt z działającym kodem, Umiejętność samodzielnego rozwiązywania problemów i pracy z dokumentacją, Realne używanie narzędzi AI w pracy programistycznej, Komunikatywny angielski B2+ 📃 Skills: TypeScript, Python, React, Node.js, PostgreSQL, AWS, LLM, RAG, MCP, Docker, Git, OpenAI, Anthropic, Claude, Cursor, Copilot 🏢 Description: Szczegóły: Branża: Architektura, Programowanie, Testowanie Stanowisko: Asystent, Praktykant / Stażysta Rodzaj umowy: Umowa zlecenie, Umowa o dzieło Wymiar pracy: Pełny etat, Część etatu, Dodatkowa / Sezonowa Charakter pracy: Stacjonarna, Hybrydowa Dodatkowe informacje: Status studenta / Praca dla młodzieży / Wymagane doświadczenie: Tak Szukamy stażysty/stażystki na płatny staż wakacyjny lipiec–wrzesień 2026 , z opcją przedłużenia współpracy po sezonie, jeśli z obu stron będzie chemia. Najchętniej widzimy studenta Politechniki Gdańskiej , ale nie zamykamy się na inne uczelnie — liczy się to, co potrafisz pokazać, nie indeks. Będziesz pracować nad realnymi projektami klientów AgentX i nad samą platformą. Nie chowamy stażystów do kąta na pisanie skryptów do migracji — od pierwszego tygodnia dostajesz konkretne zadanie, opiekuna i odpowiedzialność za swoje fragmenty kodu, który trafia na produkcję. Dotkniesz całego stacka: TypeScript, React, Node.js, Python, PostgreSQL, AWS , plus warstwa agentowa (LLM-y, RAG, MCP, tool calling, evale). Zobaczysz z bliska, jak wygląda "produkcyjnie" — testy, deployment, observability, prawdziwi userzy zgłaszający bugi. Nie wymagamy komercyjnego doświadczenia. Wymagamy, żebyś coś realnie kiedyś zbudował/a sam/a od początku do końca i potrafił/a o tym pogadać. Jak aplikować CV (krótkie, konkretne) Kilka zdań o swoim ulubionym własnym projekcie — co to było, co Cię w tym wciągnęło, co byś dziś zrobił/a inaczej Linki do kodu / dema / GitHuba / cokolwiek, co pokaże jak myślisz Wymagania: Otwarta głowa i chęć uczenia się. Produkcyjny development AI to coś więcej niż tutoriale — i ta różnica nas interesuje. Realne, świadome używanie narzędzi AI. Claude Code, Cursor, Copilot, agenci CLI — używasz ich, bo przyspieszają robotę, a nie dlatego, że są modne. Potrafisz powiedzieć, kiedy pomagają, a kiedy przeszkadzają. Własne projekty. MVP, hackathon, projekt zaliczeniowy, weekendowa zabawa, mały SaaS — cokolwiek, co samodzielnie doprowadziłeś/aś do działającej rzeczy. Najlepiej z linkiem do kodu albo dema. Samodzielność w rozwiązywaniu problemów. Czytasz dokumentację, próbujesz, debugujesz — i dopiero wtedy pytasz, konkretnie. Podstawy programowania w TypeScript lub Python (jednym z dwóch — drugiego się dobierzesz). Komunikatywny angielski (B2+) — dokumentacja, code review, czasem rozmowa z klientem. Status studenta (najchętniej PG, kierunki techniczne — Informatyka, ETI, AI&Robotyka, podobne). Mile widziane (ale nie wymagane): Doświadczenie z React / Node.js Pierwsze próby z LLM API (OpenAI, Anthropic, lokalne modele) Znajomość Dockera, Gita ponad podstawy Praca z PostgreSQL Oferujemy: Płatny staż wakacyjny lipiec–wrzesień 2026, stawka rynkowa do uzgodnienia po rozmowie technicznej. Realny kod produkcyjny od pierwszego tygodnia — nie "zadania szufladowe". Bezpośrednią pracę z seniorami robiącymi produkcyjne AI, nie z prezentacją PDF o "metodyce". Mentoring i code review — uczysz się tego, jak się to robi naprawdę, a nie jak wygląda na konferencji. Hybrydowy model pracy — biuro w Gdańsku, część dni zdalnie. Sami się dogadamy, co działa. Elastyczne godziny — jeśli masz sesję poprawkową albo inne zobowiązania, ułożymy harmonogram. Wolne weekendy. Bez wyjątków, bez "tylko ten jeden raz". Realna ścieżka po stażu — jeśli z obu stron jest chemia, przedłużamy współpracę (B2B, część etatu obok studiów — co Ci pasuje). Nie obiecujemy etatu w ciemno, ale traktujemy staż jako początek rozmowy, nie jako koniec. Sprzęt i licencje — w tym dostęp do płatnych narzędzi AI (Claude, Cursor, GitHub Copilot itp.). Czytanie każdego CV — odpowiadamy na każdą aplikację, niezależnie od decyzji. Benefity: zniżki na firmowe produkty i usługi kawa / herbata elastyczny czas pracy brak dress code'u spotkania integracyjne Aplikuj Informacje o firmie AgentX ( agentx.so ) to startup z Doliny Krzemowej, ale założyli go ludzie z Politechniki Gdańskiej. Po latach pracy w San Francisco zdecydowaliśmy, że chcemy budować dalej także stąd, skąd przyszliśmy — dlatego dziś mamy dwa biura: w SF i w Gdańsku. Na staż zapraszamy (na razie) do tego gdańskiego. Budujemy platformę do tworzenia i uruchamiania produkcyjnych agentów AI. Działamy w modelu "platforma + usługi" — z jednej strony rozwijamy infrastrukturę, na której powstają agenci, z drugiej sami dostarczamy klientom gotowe rozwiązania: od pierwszej rozmowy do działającego systemu na produkcji. AI traktujemy jako narzędzie, nie jako cel. Nie sprzedajemy "magii LLM-ów" — sprzedajemy software, który rozwiązuje konkretne problemy biznesowe, akurat z agentami w środku. Mały zespół, krótkie pętle decyzyjne, dwa kontynenty na Slacku. Realne projekty od pierwszego dnia — bez "zadań szufladowych", bez staży na ksero. Twój kod ląduje u prawdziwych userów.

🏢 Summary: Lead Full Stack Engineer role responsible for leading development of a mission-critical trading and payments platform while managing a small agile team. Combines hands-on full stack engineering with technical leadership, architecture ownership, and delivery accountability. Strong focus on .NET, React, Azure, and implementing agent-based engineering workflows across the SDLC. 🗂️ Requirements: Proven experience as Senior or Lead Full Stack Engineer, Experience leading small engineering teams, Strong proficiency in C# and .NET, Experience building RESTful APIs, Hands-on experience with React and TypeScript, Experience with Azure cloud services, Experience with Kubernetes and cloud-native architecture, Knowledge of microservices and event-driven architecture, Experience with CI/CD pipelines and automated testing, Experience working in Agile Scrum teams, Hands-on experience with agentic development tools, Ability to evaluate and validate AI-generated code, Bachelor’s degree in Computer Science, Engineering or related field 📃 Skills: C#, .NET, ASP.NET, React, TypeScript, JavaScript, HTML5, CSS, SASS, Azure, Kubernetes, Docker, Rancher, MongoDB, SQL, PostgreSQL, Kafka, AMQP, CQRS, Git, CI/CD, AzureDevOps, GitHub, Copilot, Claude, Microservices 🏢 Description: Overview Permanent, full-time, hybrid Connecting clients to markets – and talent to opportunity. With 4,300 employees and over 400,000 retail and institutional clients from more than 80 offices spread across five continents, we’re a Fortune-100, Nasdaq-listed provider, connecting clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors. Whether you want to forge a career connecting our retail clients to potential trading opportunities, or ingrain yourself in the world of institutional investing, The StoneX Group is made up of four segments that offer endless potential for progression and growth. Business Segment Overview: A Swift-accredited service bureau and member, our Payments division provides NGOs, institutions and non-profits the ability to make a local difference, globally – with transparent pricing across 180+ countries and 140+ currencies. Technology Ecosystem: Languages & Frameworks: Back End: C#, .NET 9, ASP.NET Front End: React, TypeScript/JavaScript (ES6+), HTML5, and CSS/SASS. Architecture: Microservices, Event-driven (Kafka, AMQP), CQRS Cloud & Infra: Azure, Kubernetes, Docker, Rancher Databases: MongoDB, MS SQL Server, PostgreSQL Tooling: Git, Visual Studio, VS Code, Rider, Copilot, CI/CD pipelines (Azure DevOps, GitHub) Responsibilities Position Purpose: We are seeking a Lead Full Stack Engineer to head the development of Connect, a mission-critical platform enabling trading, pricing, and more for our clients. This role combines hands-on engineering excellence with team leadership, making it ideal for someone who thrives in a high-impact environment, enjoys full stack development, and is motivated to grow people as well as products. As Lead, you will manage a small, agile team of around five engineers, while also contributing directly to the technical direction and codebase. You will be accountable for engineering quality, delivery predictability, and team growth, ensuring that the team operates effectively and efficiently. This is a career-defining opportunity for an experienced full stack engineer with strong .NET, React, and Azure expertise to step into a leadership role with direct people management. Primary duties will include: Lead and manage a cross-functional scrum team of ~5 engineers, fostering a culture of collaboration accountability, and continuous improvement. Guide software design and architecture decisions to ensure scalable, robust, and maintainable solutions. Own the refinement process - break down complex features into clear, actionable development tasks. Contribute production-ready code while setting high standards in testing, CI/CD, and documentation. Act as a technical mentor, supporting professional growth and upskilling within the team. Drive delivery predictability and ensure commitments are met, partnering closely with Product and QA engineers. Communicate progress, risks, and technical decisions clearly to engineering leadership and stakeholders. Stay ahead of emerging technologies, especially within .NET, React, and Azure ecosystems, and recommend improvements to tools and practices. Agentic Development Leadership: This is the major differentiator of the role. Introduce, design, and operationalize agent-based engineering workflows across the SDLC. Use tools such as Claude Code, capable of repository-wide reasoning, automated refactoring, debugging, and commit generation to accelerate engineering throughput. Build “agent-ready” codebases through modular design, clean documentation, and comprehensive test coverage — key enablers of successful agentic development. Actively contribute to and/or lead the new agentic development team for Payments (e.g., new wallet solution POC). Evaluate AI-generated code for quality, correctness, architectural alignment, and security. Develop internal best practices, training materials, and standards for agent-accelerated engineering. Qualifications To land this role you will need : Proven experience as a Senior or Lead Full Stack Engineer, with demonstrated success leading small teams. Strong proficiency in C#/.NET for backend development, including building and maintaining RESTful APIs. Hands-on expertise with React and modern frontend practices (TypeScript, component-driven design, state management). Experience with Azure cloud services (App Services, Functions, Kubernetes, etc.) and cloud-native architecture. Deep understanding of system architecture, scalable design patterns, and performance optimization across the stack. Ability to facilitate refinement sessions and translate product requirements into technically sound, manageable work. Strong grounding in CI/CD pipelines, automated testing, and DevOps principles. Excellent communicator, able to inspire and guide technical teams while also engaging effectively with non-technical stakeholders. Comfortable working in Agile environments with cross-functional teams. Agentic Development Skills: (What makes this role unique) Hands-on experience with agentic development tools such as Claude Code, Copilot Workspace, or equivalent. Ability to orchestrate multi-agent workflows (refactoring, debugging, dependency updates, code generation). Deep understanding of how design quality affects agent output (modularity, documentation, test coverage). Experience evaluating and validating AI-generated code. Ability to build frameworks, patterns, and tooling for agent-powered engineering at scale. Education / Certification Requirements: Bachelor’s degree or higher in Engineering (Computer Systems, Software, IT&T, Systems) or relevant experience. Working environment: FTE (UoP). Hybrid at ul. Mogilska 35 – we have private parking for employees.