Position:

Job Description:

• 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

• 5–7 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.

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