Full-Stack Engineer (AI-Native) — AgentX

🏢 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: 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: 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: The offer is for a Software Engineer (Agent Development) role focused on building and scaling production-ready AI agents and autonomous marketing workflows. The position combines strong backend engineering with applied GenAI, emphasizing reliable, scalable systems integrated into a live marketing automation platform. The role involves working with LLM orchestration, backend services, and AI-driven integrations in a fast-paced, collaborative environment. 🗂️ Requirements: 2–4 years of software engineering experience, Strong experience in Python and scalable backend development, Understanding of building production-ready, maintainable systems, Interest in AI, GenAI, and agentic systems, Experience with backend databases such as MySQL, Redis, or DynamoDB, Ability to work in fast-paced, iterative environments, Strong problem-solving skills, Ability to collaborate with cross-functional and distributed teams 📃 Skills: Python, GenAI, LLM, MySQL, Redis, DynamoDB, APIs, CI/CD, Cloud, AI, Agents 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Agent Development) to join our client’s growing AI team and help build the next generation of autonomous AI agents powering modern marketing workflows. In this role, you’ll work at the intersection of backend engineering and applied AI, designing and scaling production-ready agentic systems used by businesses worldwide. This is not a pure research role. The focus is on strong software engineering fundamentals and building reliable, scalable AI-powered products. You’ll work across backend systems, orchestration, integrations, and AI workflows, collaborating closely with cross-functional product and engineering teams. The environment is fast-paced and highly collaborative, with a strong emphasis on ownership, rapid iteration, and building real-world AI solutions already running in production. Key takeaways: Stack: Python, AI Agents, MySQL, GenAI Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical interview, live coding (1h) Cross-functional interview (1h) Interview with Hiring Manager (45 min) | Optional Responsibilities: Design and develop production-grade AI agents and autonomous marketing workflows across the platform. Build and maintain multi-step agentic systems involving LLM orchestration, tool usage, and backend integrations. Work with LLM APIs, including prompt engineering, response handling, evaluation, and optimization of AI workflows. Create and improve evaluation frameworks, quality metrics, and monitoring processes to ensure agent reliability and performance at scale. Monitor and optimize agent behavior, latency, token usage, cost efficiency, and production stability. Develop production-quality backend services and orchestration layers primarily using Python. Contribute to backend and frontend integration points where AI agents interact with the core platform. Build and maintain APIs, service interfaces, and data flows supporting AI-driven capabilities. Collaborate closely with Product, Design, and Engineering teams to define and deliver AI-powered user experiences. Ensure code quality through testing, code reviews, and adherence to engineering best practices. Participate in on-call rotations supporting AI agent services and platform reliability. Contribute to technical documentation, architectural decisions, and AI engineering best practices. Collaborate closely with globally distributed teams, including regular overlap with US-based stakeholders. Requirements: 2–4 years of experience in software engineering, with strong backend development fundamentals. Strong hands-on experience with Python and building scalable backend services. Interest in AI, GenAI, and agentic systems, with a willingness to grow in this area professionally. Exposure to AI-related projects, LLM-based solutions, ML models, or personal AI experiments is considered a strong plus. Understanding of how to build reliable, maintainable, and production-ready systems. Ability to work in fast-paced, iterative environments and ship code quickly while maintaining engineering quality. Familiarity with modern backend and database technologies such as MySQL, Redis, or DynamoDB. Strong problem-solving skills and the ability to work across different systems and technologies. Experience with cloud environments, APIs, CI/CD practices, or observability tooling is a plus. Familiarity with AI agent frameworks, prompt engineering, or LLM workflows is nice to have, but not required. Strong communication skills and a collaborative mindset within cross-functional engineering teams. Willingness to collaborate with globally distributed teams, including regular overlap with US-based stakeholders. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

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

🏢 Summary: Hands-on Forward Deployed Engineer role focused on building production solutions, sample applications, and developer tools on top of the X API platform for Enterprise and Indie developers. The position combines deep technical implementation with developer experience, emphasizing APIs, real-time data, and AI/agent integrations. You will work directly with customers to drive adoption and improve SDKs, documentation, and tooling across the ecosystem. 🗂️ Requirements: 5+ years in customer-facing technical role, Proficiency in at least two programming languages (Python, JavaScript, TypeScript, Java), Experience shipping production-quality software and developer tools, Strong knowledge of API design principles, Experience with REST or GraphQL APIs, Understanding of real-time streaming systems, Experience with authentication mechanisms, Hands-on experience building SDKs or developer tools, Experience creating technical documentation and guides, Experience with AI or LLM integrations 📃 Skills: Python, JavaScript, TypeScript, Java, REST, GraphQL, APIs, Streaming, Authentication, SDKs, CLI, LLM, AI, Rust, Scala, JVM 🏢 Description: ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.ABOUT THE ROLE: X Developer Platform is responsible for the partner ecosystem of B2B and B2C developers that build solutions using X's extensive API set. With more than 500 million active users and billions of posts per week, X offers robust, real-time and historical data, insights and engagement opportunities across a wide range of organizations and industries. Our API gives you the ability to learn from and engage with the conversation on X and we supply developers with the tools to further uncover, build on, and share the value of this conversation with the world. Our mission broadly is to achieve the state of X, "The Everything App", and be the clear digital townsquare of Earth. We make our ever-expanding universe of social media data available via our extensive API suite with consistent and reliable architecture so the world can realize the full potential of this amazing stream of information. Our team helps collect, process, enrich and deliver hundreds of billions of signals a day through the X API platform. Our products are highly available, scalable, optimized, respectful of X's user base, and truly essential for our customers who build their businesses on X data. We are seeking an exceptional Forward Deployed Engineer who will work at the intersection of deep technical implementation and world-class developer experience. In this hands-on role, you will be on the front lines building production solutions for Enterprise customers, creating sample apps for both Enterprise and Indie developers, improving DevEx tools (SDKs, MCPs, CLIs, sandbox environments, and more), and authoring comprehensive how-to-guides — with an emphasis for X API + Agentic/AI use cases and integrations. You are genuinely obsessed with developers, our documentation, and making every X API product super accessible, intuitive, and delightful to build with. You will work directly with customers while collaborating closely with internal product and engineering teams to drive adoption, reduce friction, and maximize long-term value across the entire developer ecosystem. X Developer API Products Include: Real time streaming access to X data Historical access to archived X data Insight into X engagement data Enrichments on X objects derived from the latest machine learning technologies Flexible access to aggregate data End to end developer experience RESPONSIBILITIES: Partner directly with Enterprise customers to understand their business needs and rapidly build production-grade solutions, prototypes, integrations, and accelerators using the X API platform. Design, develop, and maintain high-quality sample applications, starter kits, reference implementations, and code examples for both Enterprise teams and Indie developers to accelerate adoption and showcase best practices. Build, enhance, and ship developer experience tools such as SDKs, MCPs, CLIs, Sandbox/Test Environments, and other internal/external tooling that dramatically improves developer productivity and ease of use. Research, write, and continuously improve comprehensive how-to guides, tutorials, cookbook recipes, technical blogs, and educational content — with special emphasis on X API integrations, real-time data, AI Agents, LLMs, and emerging use cases. Obsess over every aspect of developer experience: continuously audit and elevate our documentation, onboarding flows, code samples, and overall accessibility to make X API products the most approachable and powerful in the industry. Gather real-world feedback from customers and the broader developer community, advocate passionately for their needs internally, and collaborate with Product and Engineering teams to influence roadmap and feature prioritization. Diagnose complex technical issues, bugs, and edge cases; provide expert-level troubleshooting, workarounds, and long-term solutions while turning learnings into public guides and tooling improvements. Streamline support processes and create scalable materials that close knowledge gaps and accelerate success for both managed partners and self-serve developers. BASIC QUALIFICATIONS: Exceptional coding proficiency in two or more languages (Python, JavaScript/TypeScript, Java, etc.) with a proven track record of shipping production-quality software, sample apps, prototypes, and developer tools. Strong understanding of API design principles, REST/GraphQL, real-time streaming systems, authentication, and modern AI/agent workflows. Hands-on experience building developer-facing assets: sample applications, reference implementations, DevEx tools, and high-quality technical documentation/guides. Deep, genuine passion for developer experience (DevEx) — you instinctively identify friction and love removing it through better docs, tools, and accessible APIs. 5+ years of experience in a customer-facing technical role (partner engineering, solutions architecture, developer relations, forward-deployed engineering, or similar) working directly with enterprise customers. Ability to work comfortably and professionally with diverse stakeholders (software developers, product managers, technical executives, and business leaders) to define and deliver shared objectives. Excellent project management skills with the ability to scope, execute, and drive initiatives autonomously in a fast-paced environment. Outstanding verbal and written communication skills, including the ability to translate complex technical topics into clear, engaging documentation and presentations. Strong attention to detail and a solution-oriented mindset that turns customer problems into scalable improvements. PREFERRED SKILLS AND EXPERIENCE: Previous experience building or significantly contributing to developer platforms, tools, SDKs, interactive playgrounds, or educational content. Hands-on knowledge of AI/Agent frameworks, LLM integrations, or building AI-powered applications on top of data APIs. Industry experience in social media, enterprise software, data analytics, real-time/streaming data, or related spaces. Strong familiarity with Rust, Scala (ideally), or JVM-based programming languages. A public portfolio of sample apps, open-source contributions, technical blogs, guides, or DevEx tools that demonstrate your builder mindset and developer obsession. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Senior full-stack engineering role focused on building and scaling a real-time, AI-powered system that automates transportation operations. The position involves end-to-end ownership of features, from design to production, across backend and frontend in an event-driven environment. Engineers leverage AI tools to accelerate development and deliver impactful, production-grade solutions. 🗂️ Requirements: Strong experience building production systems, Strong knowledge of at least one programming language, Experience with real-time or event-driven architectures, Experience with streams or pub/sub systems, Proficiency in SQL and data handling, Ability to design and deliver end-to-end solutions, Ability to work across backend and frontend, Experience using AI tools in development workflow 📃 Skills: Python, TypeScript, SQL, React, AWS, XMPP, LLM, PubSub, Streams 🏢 Description: Slickshift is building an AI Agent that runs transportation operations. We help trucking and logistics companies eliminate unnecessary costs — not just by catching execution mistakes in real time, but by automating the decisions and workflows that prevent those mistakes altogether. Our AI Agent monitors transport execution vs. plan, detects issues as they happen, and takes action: alerting, coordinating, and increasingly handling operational decisions that used to require manual work. Instead of juggling tools, calls, and spreadsheets, dispatchers operate through a single system that plans, executes, and monitors transport in real time — with AI actively supporting and automating the workflow. The result: fewer errors, faster reactions, and lower costs — without adding operational overhead. We’re a small, experienced team (ex-Base CRM co-founders, Zendesk alumni) building a product in a massive, underserved industry. Why join us Build fast, see real impact We ship continuously. Our users rely on Slick to run their operations—features you build immediately affect real-world decisions and costs. AI is not a feature. It’s a multiplier. We use AI to rethink how logistics software should work. We’re looking for engineers who treat AI tools as leverage—people who can move faster, explore more, and build smarter systems because of it. Massive opportunity Logistics is huge and still runs on outdated software. There’s real space to build something category-defining. Real ownership You own problems end-to-end. Equity is a meaningful part of your compensation. Remote-first We work remotely, with occasional in-person meetups. What you’ll do Own problems end-to-end: from idea to production to real-world impact Work across the stack — backend, frontend, and everything in between Design and build systems that operate in real time (event-driven, high-signal environments) Use AI tools to accelerate development, decision-making, and product iteration Build AI-powered features that reduce errors and improve operational efficiency Collaborate closely with design and product to ship the right solutions Talk to users and validate whether what you built actually works Continuously improve how we build — tooling, workflows, and engineering practices Who you are Senior engineer who can operate independently and take full ownership Comfortable working across the stack (with a preferred side, but no fear of the other) You treat AI tools (LLMs, copilots, automation) as a core part of your workflow You optimize for outcomes, not just clean code You move fast, but know when to slow down and think deeply You care about solving real customer problems, not just building systems Requirements Strong experience building production systems Strong knowledge of at least one programming language (you pick tools pragmatically, not dogmatically) Experience with real-time or event-driven architectures (streams, pub/sub) Comfortable working with data and SQL Ability to design and deliver end-to-end solutions Nice to have: Experience with Python/TypeScript Experience with XMPP (or similar communication protocols) React AWS infrastructure What matters most We’re not looking for someone who just writes code. We’re looking for someone who can amplify their impact using AI , move across the stack, and take full ownership of what they build. If you want to build fast, think independently, and push how modern software is created — let’s talk.

🏢 Summary: Lead the development of a production-grade backend powering AI features, including APIs, data pipelines, and orchestration for large-scale LLM systems. The role focuses on building reliable, secure, and scalable services handling retrieval, streaming, tool-calling, and distributed workloads on confidential data. You will own architectural decisions and ensure performance and robustness in AI-driven systems. 🗂️ Requirements: 7+ years of experience delivering production backend systems, 6+ years of experience with Python, 3+ years of experience with FastAPI, 2+ years of experience with Redis, Strong experience with PostgreSQL and SQL, Experience building and shipping LLM systems (RAG, tool-calling, agents), Experience designing async and distributed systems, Ability to architect scalable and secure backend systems 📃 Skills: Python, FastAPI, PostgreSQL, SQL, Redis, LLM, RAG, LangChain, LlamaIndex, APIs, Embeddings, VectorSearch 🏢 Description: About us comm1t is a specialist IT recruitment agency delivering top engineers across Poland and Europe 🇪🇺. We combine experienced recruiters with autonomous AI agents and an obsessive focus on quality — sourcing 24/7 across LinkedIn, GitHub, and beyond to reach engineers who aren't actively job hunting but are open to the right move. We don't flood you with CVs. We get to know each candidate's skills, values, and goals, then send only the best-matched people — and we stay close through onboarding and the first months to make sure the placement lasts. About the role You'll lead the backend that drives the AI features — the APIs, the data pipelines, and the orchestration that connects the product to the language models doing the actual work. In practice that's querying across large document sets, getting trustworthy answers out of LLMs and their tool calls, pushing results to the UI as they stream, and grinding through lengthy background jobs without the whole thing toppling over. Forget CRUD. The real difficulty is making AI systems fast and reliable on confidential data, at production scale. The architecture choices land on you early, and you'll be the one living with them. What you'll do Architect and ship the APIs and services that everything else depends on Own the AI plumbing end to end: retrieval, orchestration, tool-calling, streaming, and the evals that tell you whether the results are worth anything Make async and distributed workloads rock-solid — document ingestion, embeddings, and long jobs running on Redis Wire up integrations with what clients already use (email, document stores) and harden them for real-world traffic Put data security and isolation front and center, because clients are handing over material they can't afford to leak Who you are Seven years or more delivering production backends — though how deep you go matters more to us than the figure itself You think in failure modes, not just the happy path You've shipped genuine LLM systems (RAG, tool-calling, agents), or you can't wait to — and you've got a feel for where they fall apart You lean on AI coding tools (Claude Code, Cursor, Copilot) and get real value from them: more speed, yes, but you grasp and back every line — code you'd reject in someone else's review is code you won't merge in your own A startup that keeps changing course doesn't faze you — plans get set, then torn up and redrawn Tech stack experience Python: 6+ years FastAPI: 3+ years PostgreSQL / SQL Redis: 2+ years Nice to have RAG or vector search experience LangChain or LlamaIndex