Backend AI Engineer

Experience: 3- 7 Years

RESPONSIBILITIES

Build FastAPI microservices that expose RAG, agent and ML capabilities as REST endpoints

Build tool APIs used by AI agents — functions that search, retrieve, create, update or integrate with external systems

– Integrate with enterprise systems — SharePoint, document management systems, ERP, databases

– Design and manage database schemas (PostgreSQL, MongoDB) for AI product features

– Implement authentication and authorisation for AI services

– Handle async patterns — background tasks, queuing, high-throughput API serving

REQUIRED SKILLSx

– Python — production-quality. Code is structured, tested, handles exceptions.

– FastAPI — has built and shipped REST APIs. Understands request lifecycle, validation, middleware, error responses.

– SQL — writes complex queries confidently. Understands indexing, transactions, query performance.

– Git and Docker — standard workflow, containerised services.

– LLM API consumption — can call OpenAI or Anthropic APIs, handle streaming and manage token limits. Does not need to design AI systems, needs to integrate them.

ADDITIONAL SKILLS (increase placement level)

– API design — versioning, error codes, pagination, rate limiting, OpenAPI documentation

– Enterprise integrations — SOAP, legacy databases, file-based systems

– Performance debugging — connection pooling, N+1 query fixes, async bottlenecks

– Auth systems — OAuth2 flows, JWT, refresh token handling

– NoSQL and caching — MongoDB, Redis