Python Engineer - Agentic AI - 15 Positions

Experience: 3-8 Years

Employment Type: Contract

Role: Individual Contributor | Client Facing

Key Responsibilities

- Develop AI-powered enterprise applications using Python and contemporary 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
- CI/CD
- MLOps
- GitHub

📌 Python Engineer - Agentic AI LLMs/ RAG architectures (Telangana)
🏢 Supreme Consulting
📍 Telangana