Python Developer with GenAI experience

At Madiff, we connect top IT talent with cutting-edge companies through remote Agile teams and nearshore outsourcing. With operations in Poland, Portugal, France, and the UK, we specialize in AI, DevOps, and Cybersecurity - supporting industries like Telecom, Banking, and Hi-Tech.

Are you excited about building real-world Generative AI systems that go far beyond demos and prototypes?

For a project in the Tax and Professional Services domain, we are looking for a Python Developer with GenAI experience to join a product-oriented team building advanced LLM-powered assistants used by consultants and experts on a daily basis. These solutions analyze complex regulations, automate research workflows, generate client-facing reports, and significantly improve productivity and compliance outcomes.

Key responsibilities

• Design and develop Python-based backend services powering Generative AI applications

• Build and maintain LLM-driven workflows, including RAG pipelines, embeddings, semantic search, and multi-step reasoning

• Integrate external LLM APIs and AI services in a secure, scalable, and production-ready way

• Develop microservices using FastAPI and deploy solutions with Docker and Kubernetes

• Work with structured and unstructured data, including vector databases

• Collaborate closely with product, data, and DevOps teams, with real ownership of architecture and technical decisions

What we are looking for

• 3+ years of experience in Python backend development

• Commercial experience with Generative AI or LLM-based systems in production environments

• Strong knowledge of FastAPI (or similar frameworks) and asynchronous Python

• Experience with RAG architectures, embeddings, and vector databases

• Familiarity with cloud environments (preferably Azure) and containerization

• Understanding of prompt design, token limits, and LLM integration patterns

• Ability to work in product-oriented teams and communicate fluently in English (B2+)

What we offer

• Fully remote work with flexible collaboration model

• Long-term cooperation within a stable, international organization

• Opportunity to build next-generation AI systems used by real end users

• Strong engineering culture, modern architecture, and real influence on product direction

• Participation in high-impact AI projects within regulated, high-profile domains

Recruitment process:

1. Catch-up meeting with our recruiter.

2. Technical veirifcation.

3. Meeting with the manager.