Description

Key Responsibilities:
Develop AI/LLM applications using Python, LangChain, LangGraph, and RAG.
Integrate OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and other LLM APIs.
Build AI agents, tool-calling workflows, prompt/context management, and structured outputs.
Develop RAG pipelines using embeddings, vector databases, semantic search, and document processing.
Build AI services and REST APIs using FastAPI.
Implement LLM evaluation, monitoring, guardrails, and responsible AI.
Deploy scalable AI solutions using AWS/GCP/Azure, Docker, Kubernetes, and CI/CD.
Work with SQL, APIs, data pipelines, ML/NLP, and cloud platforms.
Collaborate with Product, Data, Engineering, Security, and Business teams to deliver AI solutions from POC to production.
Required Skills:
Python, LLMs, Generative AI, LangChain, LangGraph, RAG, Agentic AI, OpenAI/Azure OpenAI, Claude, Gemini, Vector Databases, Embeddings, Prompt Engineering, FastAPI, REST APIs, SQL, Machine Learning, NLP, AWS/GCP/Azure, Docker, Kubernetes, MLOps, AI Evaluation & Monitoring

Key Skills

Education

Bachelor's degree