Python Engineer - Agentic AI LLMs, RAG architectures

Client Facing Key Responsibilities

• Develop AI-powered enterprise applications using Python and modern AI frameworks.
• Design and implement Agentic AI workflows and intelligent automation solutions.
• Build applications using LLMs, RAG architectures, embeddings, and prompt engineering techniques.
• Integrate OpenAI, LangChain, LangGraph, and LlamaIndex into enterprise solutions.
• Develop REST APIs and microservices to expose AI capabilities.
• Deploy AI applications using Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP.
• Collaborate with Data Scientists, Product Teams, and Solution Architects to deliver AI-driven solutions.
• Participate in CI/CD pipelines, MLOps implementation, testing, and production deployments.

Required Skills

• Python
• Generative AI
• Agentic AI
• OpenAI APIs
• LangChain
• LangGraph
• LlamaIndex
• Large Language Models (LLMs)
• Prompt Engineering
• RAG Architecture
• TensorFlow / PyTorch / Keras
• REST APIs
• Microservices
• Docker
• Kubernetes
• Azure / AWS / GCP
• GitHub