AI/Python Developer

Your skills:

Strong experience in Python

Solid backend engineering fundamentals: microservices, API design, service integration, clean code and maintainable architecture

Experience with Flask / FastAPI / Django

Practical cloud/devops basics: containers (Docker) and CI/CD exposure; comfort working in cloud environments (Azure/GCP/AWS)

LLM awareness: working knowledge of LLM application patterns (e.g., prompt fundamentals, RAG basics, tool/function calling concepts) or strong motivation to learn and apply them in real products

SQL and practical experience with relational databases

Confidence in delivering production-quality code: testing mindset (unit/integration tests), debugging and operational support

Clear communicator in spoken and written English, comfortable working with local and distributed teams

Full-stack mindset: willingness to collaborate across the stack and learn frontend where needed

Nice-to-have:

Hands-on experience building LLM applications (agents, tool/function calling, RAG pipelines)

Experience with LangChain / LangGraph or similar orchestration frameworks

Experience with vector databases and retrieval/search patterns

LLM evaluation/observability tools (e.g., LangSmith/LangFuse or similar)

Cloud LLM platform experience (e.g., Azure OpenAI or equivalent)

Strong data/ETL familiarity (pandas/numpy) and pragmatic data handling

Finance/markets domain experience (FX/Rates)

Experience with Kubernetes and mature CI/CD practices

Familiarity with internal GenAI learning paths / programmes (prompt engineering, RAG, agents, LLMOps)