Python AI Developer
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Senior Python AI Developer with 5+ years of commercial experience in GenAI/LLM engineering to join our remote team in Polska.
Responsibilities
- Design and build Python services and APIs that wrap LLM-powered functionality.
- Build and maintain agentic and RAG pipelines: retrieval, reranking, tool-calling, multi-step reasoning, structured outputs.
- Care about quality beyond "it works" - evals, observability, and the data that tells you when something regresses.
- Work directly with clients: translate fuzzy business requirements into architecture decisions, and explain your technical tradeoffs to non-technical stakeholders.
- Work across a distributed, multi-market team and client organizations.
Requirements
- 5+ years commercial Python experience, including 3+ years of hands-on GenAI/LLM engineering.
- Solid engineering fundamentals: building scalable services/APIs (FastAPI, Flask, or Django), writing real test suites (pytest), clean and modular architecture.
- Hands-on experience building RAG pipelines - retrieval, embeddings, vector search.
- Working knowledge of agentic patterns: tool-calling, function-calling, multi-step reasoning workflows.
- Strong prompt engineering skills, including structured outputs (JSON schemas, Pydantic, Instructor or equivalent).
- Experience with at least one major cloud platform (AWS, Azure, or GCP), including its managed AI/ML services (e.g., Bedrock, Azure OpenAI).
- An "evals mindset" - you think about relevance, consistency, latency, and cost as real engineering concerns, not afterthoughts.
- High-proficiency written and spoken English - you'll use it daily with clients and teammates.
Nice to Have
- Experience with orchestration frameworks beyond the basics - LangGraph, LangSmith, LlamaIndex.
- Hands-on with a specific vector database (Pinecone, Weaviate, Milvus, pgvector) beyond "I integrated one once."
- Experience building evaluation frameworks or golden-dataset pipelines specifically (as opposed to just using one).
- Exposure to data pipeline work feeding AI systems - understanding how data quality/freshness affects model behavior.
- Prior client-facing / consulting experience in a professional-services or consulting setup.
We Offer
- A good and friendly atmosphere in the company and the satisfaction of working with both departmental colleagues and direct superiors.
- Large internal technology conferences, star parties, and team outings.
- Flexible working hours tailored to individual preferences. Remote or hybrid work options available.
- Clear, straightforward development paths: choose between a managerial or expert development path.
- Facilitation of desired competencies development, subsidized training, and courses.
- Many years of experience in the market and implementation of national and international projects.
- Free participation in language lessons for those who speak fluently and wish to maintain or develop their language skills.
- Attractively decorated relaxation areas, available in the company's largest branches, to encourage relaxation during the day, and equipped kitchens with aromatic coffee.
- Support for all passions, including soccer teams, marathon runners, and other active sports lovers.
About the Company
Join our team and be part of a unique atmosphere where you can grow professionally while enjoying a supportive and engaging work environment.
© Britenet. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Insurance,Finance,Healthcare,Automotive
About the Company Britenet is a European company with over 18 years of experience in creating world-class software solutions. The company supports innovation, diversity, and creativity, offering an international work environment. It specializes in software outsourcing services. Products, Services & Tech Stack Core Solutions: Software Development Consulting IT Nearshoring Technologies & Frameworks: Salesforce Microsoft Project Scope & Target Clients Client Base: Insurance Finance Healthcare Automotive Engineering Scale: Team Leasing Managed Services Competence Centers
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