AI Engineer (RAG + Agentic AI) @Tech Mahindra

We are seeking a highly skilled AI Engineer with 5+yrs exp to design, develop, and deploy enterprise-grade Generative AI solutions. The role focuses on building RAG pipelines, Agentic AI systems, and scalable AI applications on the Azure ecosystem.

The ideal candidate should have strong backend engineering expertise combined with hands-on experience in LLMs, Agentic frameworks, and cloud-native deployments.

Key Responsibilities

• Design and develop RAG (Retrieval-Augmented Generation) pipelines using LLMs and vector databases
• Build and implement Agentic AI systems / multi-agent workflows (Lang Graph, MS Agentic Framework, etc.)
• Develop scalable backend APIs (REST / Fast API) for AI-powered applications
• Develop and deploy AI-powered web applications / copilots / agents
• Build data ingestion, embedding, and vector search pipelines
• Work with Azure ecosystem services (Azure OpenAI, ADLS, AKS, Functions, etc.)
• Deploy AI workloads using Kubernetes (AKS) and containerization (Docker)
• Integrate AI solutions with enterprise applications and external APIs
• Ensure performance tuning, scalability, and reliability of AI systems
• Follow best practices for Responsible AI, security, and governance

Required Skills:

Core AI & GenAI

• Strong understanding of LLMs, RAG architecture, and embeddings

• Hands-on experience with Agentic AI frameworks:

• Lang Graph / MS Agentic Framework / similar

• Experience building multi-agent systems and AI copilots

Programming & Backend

• Strong expertise in Python

• Experience with:

• Fast API / Flask / REST APIs
• Microservices architecture

Cloud & Platform

• Strong experience with Azure Ecosystem

• Azure OpenAI
• Azure Functions / App Services

• Azure Data Services

• Experience with Kubernetes (AKS) and containerization (Docker)

Application Development

• Experience building:

• Web APIs
• AI-enabled web applications

Data & AI Pipeline

• Vector databases (FAISS, Pinecone, etc.)
• Data ingestion and document processing pipelines
• Knowledge of embeddings and semantic search

Good to Have

• Experience with:

• MCP / Model Context Protocol

• Multi-agent orchestration frameworks (Crew AI, AutoGen)

• Exposure to:

• Copilot / AI Assistant development

• Cowork/Droid-based agent ecosystems

• Knowledge of:

• Graph RAG / Knowledge Graphs

• Experience with:

• CI/CD, MLOps, and monitoring tools

Preferred Certifications

• Azure AI / Azure Data / Cloud certifications
• GenAI / LLM-related certifications

Looking for short Notice joiners, if interested, Pls share your resume to [email protected]

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