Lead AI Developer/Lead Agentic AI Developer

Role: Senior/ Lead AI/ML Engineer Agentic AI & RAG Systems

Experience Required: 5+ Years
Location: Hyderabad
Type: Full-time

Must-Have Skills

• Agentic AI Systems & Multi-Agent Architectures
• Generative AI (LLMs, Prompt Engineering, Agents)
• LangChain, LangGraph
• Retrieval-Augmented Generation (RAG)
• Graph RAG / Knowledge Graph-based Retrieval
• Strong Advanced Python Development
• FastAPI for AI service deployment
• AI/LLM Platforms and Modern AI Tooling

Job Description

We are seeking highly experienced Senior AI/ML Engineers (6+ years) to design, build, and deploy next-generation Agentic AI and Generative AI solutions. The ideal candidate will have strong hands-on expertise in LLM application development, particularly using LangChain, LangGraph, RAG, and Graph RAG frameworks, along with advanced Python engineering skills.This role is suited for professionals who have built real-world AI products and can drive innovation in fast-paced enterprise environments.

Key Responsibilities

• Design and develop scalable Agentic AI solutions, including multi-agent workflows and autonomous AI systems.
• Build and optimize RAG pipelines, including advanced implementations such as Graph RAG for enterprise knowledge retrieval.
• Develop LLM-powered applications using: LangChain / LangGraph / Vector databases and retrieval frameworks
• Rapidly prototype and deploy AI services using FastAPI and modern Python frameworks.
• Work with cutting-edge AI ecosystems including: OpenAI APIs / Hugging Face Transformers / PyTorch
• Collaborate with cross-functional teams to translate business needs into AI-driven technical solutions.
• Lead solution development for client-facing AI transformation initiatives.
• Mentor junior engineers and contribute to building a strong AI innovation culture.
• Stay current with the latest advancements in Agentic AI, LLM orchestration, and retrieval architectures.

Key Skills & Qualifications

• 5+ years of professional experience in AI/ML engineering (candidates below this experience level will not be considered).
• Strong proficiency in Python (advanced level required).

• Proven expertise in:

• LangChain
• LangGraph
• RAG implementations

• Graph RAG / Knowledge Graph-based AI systems

• Solid foundation in Machine Learning, Deep Learning, and NLP.
• Experience deploying AI/ML solutions on cloud platforms such as AWS, Azure, or GCP.
• Strong product-building mindset with the ability to deliver production-grade AI systems.
• Comfortable working in environments requiring fast execution, experimentation, and continuous learning.
• Client-facing experience and technical leadership are strong pluses.

Why This Role?

• Work on cutting-edge Agentic AI + Enterprise GenAI systems
• Opportunity to build scalable, real-world AI products using LangGraph + Graph RAG
• High-impact role with strong ownership and innovation culture