Applied AI Engineer

**Applied AI Engineer Agentic AI LangGraph LangChain RAG Python Hyderabad**

Experience: 5 to 15 Years

Location: Hyderabad

Job Description

We are looking for an experienced Applied AI Engineer to design, develop, and deploy production-grade Agentic AI applications using Python, LangGraph, LangChain, and Large Language Models (LLMs).

The ideal candidate should have hands-on experience in developing AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG) pipelines, prompt engineering, vector databases, and deploying scalable AI applications.

Key Responsibilities

• Design and develop Agentic AI applications using LangGraph and LangChain.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Develop AI Agents and Multi-Agent Systems for real-world business use cases.
• Engineer prompts for LLMs such as Claude, GPT, Llama, or Gemini.
• Implement structured outputs, context management, and prompt optimization.
• Work with vector databases and embedding models to build intelligent retrieval systems.
• Integrate AI services with GitHub, Jira, CI/CD pipelines, and DevSecOps workflows.
• Deploy AI applications using Docker, Kubernetes, and cloud platforms (GCP preferred).
• Collaborate with cross-functional and global engineering teams to deliver scalable AI solutions.

Required Skills

• Strong programming experience in Python
• Hands-on experience with LangGraph and LangChain
• Experience building Agentic AI or Multi-Agent Systems
• Strong understanding of Generative AI and Large Language Models (LLMs)
• Experience with Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Vector Databases and Embeddings
• Docker & Kubernetes
• GitHub and CI/CD
• Cloud platform experience (GCP preferred)

Good to Have

• Model Context Protocol (MCP)
• Claude Opus / Claude Sonnet
• AI Guardrails / AI Governance
• Event-Driven Architecture
• DevSecOps
• Experience in regulated financial environments

Interested candidates can share their updated CV at:

[email protected]