About the Role

Job Title: Senior AI Engineer (Generative AI, Agentic AI, Knowledge Graphs, LLMs, RAG &ML;) Experience: 8–25 Years

Location: Chennai

Role Overview

We are looking for a highly skilled AI Engineer with 8-25 years of experience and at least 3-4 years of experience in building and deploying AI solutions, with strong expertise in Agentic AI, Generative AI, LLMs, SLMs, Retrieval-Augmented Generation (RAG), and traditional Machine Learning pipelines, Knowledge Graphs and passionate about building intelligent, GenAI applications. In this role, you’ll convert business problem into technical AI solutions, gather requirements, design, develop, and deploy AI systems to enable conversational intelligence, reasoning, and automation capabilities. The ideal candidate should be comfortable working across structured and unstructured data, ML, and software engineering layers, leveraging frameworks like LangChain, Azure AI Foundry, A2A, MCP, Neo4J and Azure OpenAI to build scalable, agentic AI applications using python.

You’ll have the opportunity to be part of AI-driven change management, driving greater impact through efficiency, cost savings, and innovation.

Responsibilities

- Design, build, and optimize end-to-end AI systems leveraging both LLMs and classical ML models.
- Develop GenAI-powered applications using frameworks such as LangChain, LangGraph, LangSmith, Langfuse, LlamaIndex and agentic architectures for workflow automation, with observability and traceability.
- Develop Knowledge Graphs & leverage Graph DBs and Graph RAGs to implement grounded AI solutions.
- Implement advanced RAG pipelines — including document chunking, vector database integration, semantic search and hybrid search. Experience in RAG optimization techniques (query rewriting, reranking, memory-augmented approaches).
- Engineer and refine prompts, system templates, and chains for performance, consistency, and contextual reasoning.
- Work with Rest APIs, well-versed in API integration with any stack UI.




- Design and manage multi-agent orchestration systems that interact and collaborate across tasks.
- Develop, evaluate, and deploy traditional ML models using Python, Pandas, NumPy, Scikit-learn, and other libraries.
- Work closely with data engineers to ensure data readiness, feature engineering, and model lifecycle governance.
- Deploy models using Azure ML, Azure OpenAI, Cognitive Services, and other Azure AI offerings.
- Collaborate with product, data, and engineering teams to deliver production-grade AI solutions.
- Maintain strong documentation, experiment tracking, and best practices in version control and well versed with DevOps lifecycles.

Required Skills

- Programming: Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, Streamlit, FastAPI etc)
- Generative AI: RAG, prompt engineering, LangChain, LangGraph, vector databases (Azure AI Search, FAISS, Chroma, Weaviate)
- LLMs: Experience working with multiple models (OpenAI GPT, Claude, Gemini, Mistral, Llama, etc.)
- Knowledge Agents: Neo4j, GraphRAG, Cipher Query, other compatible Graph DBs
- Data Background: Knowledge Graphs, Graph DB, Solid SQL, data engineering, ETL, preparation, transformation, and feature engineering skills
- Azure Cloud Ecosystem: GIT, Devops pipelines, Azure AI Services, Azure OpenAI, Cognitive Search, Azure AI Foundry, and related services
- Machine Learning: Regression, classification, clustering, feature selection, model evaluation
- APIs & Integration: REST APIs, FastAPI, Streamlit (optional), or similar frameworks
- Versioning & Deployment: Git, CI/CD, MLflow (preferred)

Preferred Skills

- Experience with LLM fine-tuning, perform fine-tuning or adapter-based training (LoRA, PEFT, etc.) on domain-specific data when needed.
- Development Familiarity with front-end or back-end frameworks (FastAPI, Streamlit, React) to build AI-powered tools.
- Hands-on experience with Azure DevOps, Kubernetes, or Docker.
- Familiarity with enterprise AI governance, access control, IAM and cost optimization in cloud setups.

📌 Generative AI Engineer (Chennai)
🏢 Maven Workforce
📍 Chennai