Employment Type: Contract Role: Individual Contributor

Client Facing

Key Responsibilities
Develop AI-powered enterprise applications using Python and up-to-date 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.

📌 Python Engineer Agentic Ai Llms, Rag Architectures Hyderabad
🏢 Techservices Partners
📍 Hyderabad