AI/Python Developer

• 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)