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

Experience Required: 5+ Years

Location: Hyderabad (On-Site) (Hybrid after 3 Months / 3 Days WFO - 2 Days WFH)

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:

- Lang Chain

- Lang Graph

- 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.