Senior FullStack Developer (AI Stack)

🏢 Summary: Opportunity to build an AI-native legal platform focused on agentic workflows for document review, drafting, analysis, anonymization, translation, and semantic search. The role involves developing scalable backend systems and collaborating closely with product teams in a fast-paced international startup environment. Engineers are expected to take ownership, deliver high-quality code, and contribute to technical decisions. 🗂️ Requirements: Strong English communication (C1+), Experience building scalable backend systems, Hands-on experience with AI tooling, Experience with Python backend stack, Ability to work in a fast-paced international startup environment 📃 Skills: Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure, React, Next.js, TypeScript, Zustand, shadcn/ui, LangChain 🏢 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 work on an AI-native platform for the legal industry — building agentic AI workflows that let legal teams delegate complex, multi-step work. Not just chat-based assistance, but actual end-to-end execution on documents: review, drafting, analysis, anonymization, translation, and semantic search. The product is highly scalable and performant, handling large volumes of large legal documents. You'll work very closely with the product, with real ownership and impact on its direction. We're looking for top-tier engineers who deliver high-quality code and challenge decisions rather than just execute tickets. Tech stack Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure Cloud, React, Next.js, TypeScript, shadcn/ui, Zustand Must-have Strong English communication (C1+) Experience building scalable, robust backend systems within (or close to) the stack above Hands-on experience with AI tooling in your daily work (Claude Code, Cursor, etc.) — this is a hard requirement Comfort in a fast-paced, international startup environment Nice to have Experience building LLM-powered features or workflows (OpenAI/Anthropic APIs, LangChain, agentic systems)

🏢 Summary: Opportunity to build an AI-native platform for the legal industry focused on agentic AI workflows for document review, drafting, analysis, anonymization, translation, and semantic search. The role involves developing scalable and high-performance systems with strong ownership and close collaboration with the product team in a fast-paced international startup environment. 🗂️ Requirements: Strong English communication (C1+), Experience building scalable and robust backend systems, Hands-on experience with AI tooling, Ability to work in a fast-paced international startup environment 📃 Skills: Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure, React, Next.js, TypeScript, Zustand, LangChain, OpenAI, Anthropic 🏢 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 work on an AI-native platform for the legal industry — building agentic AI workflows that let legal teams delegate complex, multi-step work. Not just chat-based assistance, but actual end-to-end execution on documents: review, drafting, analysis, anonymization, translation, and semantic search. The product is highly scalable and performant, handling large volumes of large legal documents. You'll work very closely with the product, with real ownership and impact on its direction. We're looking for top-tier engineers who deliver high-quality code and challenge decisions rather than just execute tickets. Tech stack Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure Cloud, React, Next.js, TypeScript, shadcn/ui, Zustand Must-have Strong English communication (C1+) Experience building scalable, robust backend systems within (or close to) the stack above Hands-on experience with AI tooling in your daily work (Claude Code, Cursor, etc.) — this is a hard requirement Comfort in a fast-paced, international startup environment Nice to have Experience building LLM-powered features or workflows (OpenAI/Anthropic APIs, LangChain, agentic systems)

🏢 Summary: Opportunity to build an AI-native platform for the legal industry, creating agentic AI workflows that automate complex, multi-step document processes such as review, drafting, and analysis. The role focuses on developing scalable, high-performance backend systems and collaborating closely with product to shape direction and deliver impactful solutions. Ideal for top-tier engineers who write high-quality code and actively contribute to technical decisions in a fast-paced startup environment. 🗂️ Requirements: Strong English communication (C1+), Experience building scalable and robust backend systems, Hands-on experience with AI tooling in daily work (e.g., Claude Code, Cursor), Ability to work within Python-based backend stack, Comfort working in fast-paced international startup environment 📃 Skills: Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure, React, Next.js, TypeScript, Zustand, shadcn/ui, LLM, OpenAI, Anthropic, LangChain 🏢 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 work on an AI-native platform for the legal industry — building agentic AI workflows that let legal teams delegate complex, multi-step work. Not just chat-based assistance, but actual end-to-end execution on documents: review, drafting, analysis, anonymization, translation, and semantic search. The product is highly scalable and performant, handling large volumes of large legal documents. You'll work very closely with the product, with real ownership and impact on its direction. We're looking for top-tier engineers who deliver high-quality code and challenge decisions rather than just execute tickets. Tech stack Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure Cloud, React, Next.js, TypeScript, shadcn/ui, Zustand Must-have Strong English communication (C1+) Experience building scalable, robust backend systems within (or close to) the stack above Hands-on experience with AI tooling in your daily work (Claude Code, Cursor, etc.) — this is a hard requirement Comfort in a fast-paced, international startup environment Nice to have Experience building LLM-powered features or workflows (OpenAI/Anthropic APIs, LangChain, agentic systems)

🏢 Summary: Fullstack (or backend-leaning) engineer role focused on building scalable, secure AI-driven workflows for legal teams to execute complex document processes end-to-end. The position involves developing agentic AI systems with full ownership over features, ensuring traceability, explainability, and high performance in regulated environments. You will work with a modern Python and React-based stack and directly influence product direction in a fast-paced startup setting. 🗂️ Requirements: 5–6+ years of experience with Python, 3+ years of experience with FastAPI, Experience building scalable, robust backend systems, Hands-on experience with AI tooling (e.g., Claude Code, Cursor), Ability to build end-to-end features (fullstack or strong backend), Comfort working in a fast-paced, international startup environment 📃 Skills: Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure, React, Next.js, TypeScript, Zustand, shadcn/ui, OpenAI, Anthropic, LangChain 🏢 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 We're looking for fullstack engineers (preferably) — but if you're strong on the backend and don't feel at home on the frontend, that's completely fine too. What matters most is that you can own features end-to-end. You'll build agentic AI workflows that let legal teams delegate complex, multi-step work — not just chat-based assistance, but real end-to-end execution on documents: review, drafting, analysis, anonymization, translation, and semantic search. Every step the platform takes has to be traceable, explainable, and secure, since we operate in regulated environments with sensitive client data. The product handles large volumes of large legal documents, so scalability and performance are core, not afterthoughts. You'll work very closely with the product itself, with real ownership and impact on its direction. We're looking for top-tier engineers who ship high-quality code and challenge decisions rather than just close tickets. Tech stack Backend: Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure Cloud Frontend: React, Next.js, TypeScript, shadcn/ui, Zustand Must-have Minimum 5-6 years of experience with Python and 3+ with FastApi Experience building scalable, robust backend systems within (or close to) the stack above Hands-on experience with AI tooling in your daily work (Claude Code, Cursor, etc.) — this is a hard requirement Comfort in a fast-paced, international startup environment Nice to have Experience building LLM-powered features or workflows (OpenAI/Anthropic APIs, LangChain, agentic systems)

🏢 Summary: Senior Frontend role in a scaling legal tech startup focused on AI agents, with strong ownership over frontend architecture and product direction. You will build and refine user-facing interfaces using modern React-based technologies, collaborating closely with product, design, and backend teams. The role requires delivering clean, scalable code at high pace with AI-assisted development tools. 🗂️ Requirements: C1+ English proficiency, Experience building scalable and robust applications, Strong experience with React ecosystem, Ability to work in fast-paced startup environment, Experience collaborating with cross-functional teams 📃 Skills: React, TypeScript, Next.js, Tailwind, shadcn/ui, Zustand, JavaScript, HTML, CSS 🏢 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 be a senior voice on the frontend, working hand in hand with the product and shaping where it goes next. This is legal tech in the AI agents space, and the team is squarely in scaling mode — so the bar is high: clean, dependable code, shipped fast, with AI tools like Claude Code and Cursor part of how you work every day. What you'll do Build and maintain interfaces people actually enjoy using — designing, developing, and refining them Work across teams, partnering closely with designers, product managers, and backend engineers Take full ownership of your craft: code quality, maintainability, and the overall shape of the frontend codebase Move fast and experiment boldly, with a real say in how the platform evolves Must-have Excellent English communication (C1+) Experience building scalable, robust applications within (or close to) the stack Up for the pace of a dynamic, international startup Tech stack React, TypeScript, Next.js, Tailwind CSS, shadcn/ui, Zustand

🏢 Summary: Senior backend engineering role focused on building and scaling AI-driven systems, including APIs, data pipelines, LLM orchestration, and distributed workloads on confidential production data. The position involves architecting reliable backend infrastructure for retrieval, streaming, embeddings, and integrations while ensuring security and scalability. 🗂️ Requirements: 7+ years building production backends, 6+ years of Python experience, 3+ years of FastAPI experience, 2+ years of Redis experience, Experience with PostgreSQL and SQL, Experience with distributed and async workloads, Experience with LLM systems, Knowledge of RAG or tool-calling systems, Ability to design scalable backend architectures, Experience with AI coding tools 📃 Skills: Python, FastAPI, PostgreSQL, SQL, Redis, LLM, RAG, LangChain, LlamaIndex, APIs, Embeddings, Streaming 🏢 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

🏢 Summary: Senior backend engineering role focused on building scalable AI infrastructure, APIs, and distributed systems powering LLM-based products. The position involves architecting retrieval, orchestration, streaming, and secure data processing pipelines for production-grade AI systems. Candidates are expected to work hands-on with Python backend technologies and AI integrations in a fast-changing startup environment. 🗂️ Requirements: 7+ years building production backend systems, 6+ years of Python experience, 3+ years of FastAPI experience, 2+ years of Redis experience, Experience with PostgreSQL and SQL, Experience delivering LLM systems, Knowledge of RAG, tool-calling, or AI agents, Experience with async and distributed workloads, Ability to design scalable APIs and services, Understanding of data security and isolation, Experience with integrations such as email or document stores, Ability to work in a changing startup environment 📃 Skills: Python, FastAPI, PostgreSQL, SQL, Redis, LLM, RAG, LangChain, LlamaIndex, APIs, Embeddings, Streaming, Tool-calling 🏢 Description: About 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

🏢 Summary: Lead the development of a production-grade backend powering AI features, including APIs, data pipelines, and LLM orchestration. The role focuses on building fast, reliable, and secure AI systems handling large document sets and confidential data at scale. You will architect core services, manage distributed workloads, and own AI integrations end to end. 🗂️ 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, Experience building or shipping LLM systems (RAG, tool-calling, agents), Strong knowledge of PostgreSQL and SQL, Experience designing distributed and asynchronous systems, Experience building secure systems handling confidential data 📃 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

🏢 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

🏢 Summary: Engineering role focused on building an AI-native legal platform with scalable agentic AI workflows for document review, drafting, analysis, anonymization, translation, and semantic search. The position involves close collaboration with product teams, high ownership, and development of performant systems handling large legal documents using a modern Python and React-based stack. 🗂️ Requirements: Strong English communication (C1+), Experience building scalable backend systems, Experience with Python-based backend stack, Hands-on use of AI coding tools, Ability to work in a fast-paced startup environment 📃 Skills: Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure, React, Next.js, TypeScript, Zustand, shadcn/ui, LangChain, OpenAI, Anthropic 🏢 Description: About the role You'll work on an AI-native platform for the legal industry — building agentic AI workflows that let legal teams delegate complex, multi-step work. Not just chat-based assistance, but actual end-to-end execution on documents: review, drafting, analysis, anonymization, translation, and semantic search. The product is highly scalable and performant, handling large volumes of large legal documents. You'll work very closely with the product, with real ownership and impact on its direction. We're looking for top-tier engineers who deliver high-quality code and challenge decisions rather than just execute tickets. Tech stack - Python - FastAPI - Redis - SQL - NoSQL - Celery - Azure Cloud - React - Next.js - TypeScript - shadcn/ui - Zustand Must-have - Strong English communication (C1+) - Experience building scalable, robust backend systems within (or close to) the stack above - Hands-on experience with AI tooling in your daily work (Claude Code, Cursor, etc.) — this is a hard requirement - Comfort in a fast-paced, international startup environment Nice to have - Experience building LLM-powered features or workflows (OpenAI/Anthropic APIs, LangChain, agentic systems)