AI ML Python Developer

Design and develop scalable backend services and REST APIs using Python FastAPI/Flask/Django.

Build and integrate Generative AI/LLM-based applications including RAG AI agents embeddings and tool/function calling.

Work with Azure OpenAI and other LLM providers.

Use AI frameworks such as LangChain LlamaIndex LangGraph or similar.

Implement LiteLLM for LLM gateway routing fallback and usage/cost management.

Implement rate limiting throttling caching retries and API quotas for scalable services.

Use Langfuse for LLM observability tracing prompt management token/cost tracking and evaluation.

Design and work with PostgreSQL/MySQL MongoDB and Redis.

Deploy and manage applications using Microsoft Azure Docker and CI/CD.

Develop unit/integration tests troubleshoot production issues and optimize performance and cost.

Participate in system design code reviews and technical architecture discussions.

Required

57 years of software development experience with strong Python and backend development skills and hands-on experience in Generative AI/LLM applications.

Strong understanding of REST APIs microservices RAG embeddings vector databases prompt engineering AI agents rate limiting and distributed systems.

Hands-on experience with Azure OpenAI LiteLLM and Langfuse is preferred along with exposure to LangChain/LlamaIndex/LangGraph or similar AI frameworks.

Experience with Microsoft Azure Docker CI/CD databases Redis API security and cloud-native application development is required.

Strong problem-solving communication ownership and ability to build production-grade AI solutions are essential.