Senior Backend Engineer (FastAPI)

🏢 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: 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 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 - 3+ years 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: 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: 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: 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: The offer is for an experienced Java Developer to build and integrate AI-driven backend solutions, including AI agents and LLM-powered services, within scalable distributed systems. The role focuses on designing reasoning pipelines, vector search integrations, and data-heavy architectures using modern AI tooling. You will contribute to architecture design, code quality, and AI-based system development in a collaborative environment. 🗂️ Requirements: Minimum 3 years of professional Java experience, Strong backend development skills, Experience with Spring Boot, Experience with Docker, Experience with Spring AI, Experience integrating LLMs into applications, Understanding of vector databases, Experience with AWS Bedrock, Experience with LangChain4j, Knowledge of embeddings, Knowledge of prompt engineering basics, Knowledge of retrieval-augmented generation (RAG), Understanding of Model Context Protocol, Experience building scalable distributed systems, Experience designing AI agents and reasoning pipelines 📃 Skills: Java, SpringBoot, Docker, SpringAI, OpenAI, Anthropic, Milvus, Pinecone, Qdrant, Elasticsearch, AWS, Bedrock, LangChain4j, Embeddings, RAG, MCP 🏢 Description: We are looking for an experienced Java Developer with strong backend engineering skills and proven experience in AI-related technologies and frameworks. The ideal candidate has at least 3 years of professional Java experience, writes clean, maintainable code, and is comfortable working on scalable distributed systems. A strong interest in data, AI-driven applications, vector search, and modern LLM tooling is highly valued. We are looking for a team player who thrives in collaborative environments, enjoys knowledge sharing, and contributes actively to technical discussions and solution design. Key Responsibilities Designing and implementing AI agents with reasoning pipelines (e.g. multi-step workflows, tool usage, RAG-based decision making) Integrating AI capabilities such as LLM-powered services, semantic search, and intelligent automation Contributing to scalable architectures for data- and event-driven systems Improving, refactoring, and maintaining existing codebases Designing tasks in collaboration with the Team Lead and Product Owner Participating in code reviews, architecture discussions, and knowledge sharing Contribute to the design of scalable architectures for data-heavy and AI-driven services Collaborate closely with the Team Lead and Product Owner to design tasks and shape technical solutions Participate in code reviews, architecture discussions, and knowledge-sharing sessions Required Skills & Technology: English min B2 + Polish or C1 Experience - minimum 3 years Java: Spring Boot Docker AI-related: Spring AI Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.) Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch vector search, or similar) AWS Bedrock LangChain4j Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG) Understanding Model Context Protocol Nice to Have: Redis Mongo DB AI-related: Experience with AI/ML frameworks or orchestration libraries (LangChain4j, Spring AI, Embabel, Haystack, etc.) Familiarity with LLM model lifecycle: prompt design, evaluation, latency considerations, cost/performance trade-offs Experience with Ollama / vLLM Experience with streaming architectures for AI pipelines (i.e. Kafka Streams) Experience with document processing, OCR, or semantic search Perks in the office: Modern office full of coffee, snacks, and beverages Bike parking, great location of the office Benefits: Training budget for self-development, courses, conferences, and more A smart benefits platform that lets you easily manage subscriptions and purchases — including sports and lunch cards. Flat structure and small teams International project Team Events Private healthcare, Life & group insurance We celebrate birthdays and other important employee events Recruitment process: Screening (15-30 min) -> We want to get to know you and answer your questions - it is up to you how much time we need. Recruiting Task - Show your skills :) We will send you a task, you decide how much time you need to complete it. Video call (1h/2h)-> Let's talk about your coding style, exchange experiences, and get to know each other a little better. Data Sharing - the best way to better data. We are passionate about new technologies and we constantly improve our stack. There is always enough room to learn the ropes as we provide internal and external training and education. We are looking for a person who loves high-quality of code and who is interested in big sets of data. 90% of the world's data has been produced in just the last two years. Our mission is to help companies with our innovative Data Quality Services. CDQ is the first company in the market to leverage Data Sharing as the best way to better data. Our customers share data quality rules, enrich their data from publicly shared sources, exchange hand-validated data records, and alert each other of data fraud. The result of collaborative master data management: Higher efficiency, shared efforts, better quality, less risks. With our cloud-based software platform, CDQ can provide Data Quality as a Service – customers' master data is monitored and updated continuously, using our Data Quality Tools software or fully integrated with their ERP or CRM systems.

🏢 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: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend systems, and multi-agent workflows across cloud and enterprise environments. The position involves designing secure integrations, optimizing LLM-based solutions, and leading technical delivery and best practices. It combines hands-on AI development with backend architecture and technical leadership. 🗂️ Requirements: Degree in Computer Science, AI, Data Science or related field, 8+ years of software engineering experience, 5+ years of Python backend development in production, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG and MCP, Experience with AWS or Azure cloud platforms, Experience with storage systems and databases, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience 📃 Skills: Python, AWS, Azure, Kubernetes, RAG, MCP, APIs, Cloud, Databases, Containerization, AI, LLM 🏢 Description: We are seeking an experienced Lead AI Software Developer to design and scale AI-powered applications and integrations. In this role, you will architect backend systems, lead AI agent development, and ensure secure, scalable integration across cloud platforms and enterprise systems. Key Responsibilities Design and maintain middleware, APIs, and connectors integrating AI agents with enterprise systems Architect scalable backend services and cloud-based solutions (AWS/Azure) Develop and optimize multi-agent workflows and adaptive decision logic Fine-tune prompts and LLM-based solutions for domain-specific use cases Lead code reviews, mentor developers, and define development best practices Drive complex API integrations with internal and external AI platforms (incl. MCP servers) Remove technical roadblocks and ensure timely delivery Collaborate with AI, Data, and Platform teams to optimize automation architectures Maintain technical documentation and promote continuous improvement Requirements Degree in Computer Science, AI, Data Science, or similar field 8+ years of software engineering experience, including 5+ years of Python backend development (production) Strong experience building and scaling Python applications Hands-on experience with AI technologies (AI Agents, RAG, MCP) Experience with cloud platforms (AWS or Azure), storage, databases, and AI services Knowledge of containerization and Kubernetes Experience with API integrations and enterprise system connectivity Strong leadership and mentoring experience Excellent communication skills; fluent in Polish and English (min. B2); German is a plus Willingness to travel internationally (~10%) Nice to have: Experience with LangChain, LangGraph, multi-agent systems, prompt engineering, and LLM fine-tuning. What We Offer Work in a global and innovative technology environment Direct impact on enterprise AI and automation solutions Professional development and access to training programs Hybrid work model with flexible hours (central Wroclaw office) Competitive benefits package, cafeteria system, CSR initiatives, and employee clubs

🏢 Summary: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team