Role: Senior/ Lead AI/ML Engineer Agentic AI & RAG SystemsExperience 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 contemporary 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

📌 Lead AI Engineer (Hyderabad)
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