Senior Ai Engineer (Kanpur)

Senior Ai Engineer (Kanpur)

17 Aug
|
Tech Mahindra
|
Kanpur

17 Aug

Tech Mahindra

Kanpur

Band: U4 / P1
Experience: 10–12 years
Location: Remote (India)
Employment Type: Full-Time
Role Overview
We are looking for a Senior Gen AI Engineer with strong hands-on experience in building production-grade Generative AI solutions. The role requires deep expertise in agentic AI architectures, LLM orchestration, and advanced RAG pipelines , with proven experience in deploying scalable, enterprise-grade solutions (not Po Cs).
Key Responsibilities
Design and build end-to-end production-grade Gen AI applications using LLMs
Develop and orchestrate agentic AI systems (single agent & multi-agent) for complex enterprise workflows
Implement RAG pipelines including document ingestion, embeddings, retrieval optimization, and response synthesis
Build and optimize LLM orchestration workflows with strong focus on latency, cost, and scalability
Implement observability frameworks (tracing, monitoring, logging) for Gen AI systems
Define and execute evaluation frameworks for LLM response quality, grounding, and hallucination management
Develop scalable backend services using Python + Fast API




Build lightweight UI layers using Streamlit for demos/internal tools
Ensure production readiness including scalability, resilience, and fault tolerance
Collaborate with architecture, data, and platform teams to integrate Gen AI into enterprise ecosystems
Mandatory Skills (Strict – No Compromise) – REJECT PROFILES IF ANY OF THE BELOW MENTIONED IS MISSING
Proven experience in building production-grade Gen AI solutions (must demonstrate real deployments)
Hands-on expertise in agentic frameworks & orchestration :
AWS Agent Core / Strand Agents
Lang Graph (or equivalent agent orchestration frameworks)
Multi-agent system design
Solid hands-on experience with RAG architectures :
Vector DBs (FAISS, Pinecone, Open Search, Chroma, etc.)
Embeddings & retrieval strategies (hybrid search, reranking, grounding)
Deep understanding of LLM orchestration workflows
Experience in LLMOps / Observability / Evaluat

📌 Senior Ai Engineer (Kanpur)
🏢 Tech Mahindra
📍 Kanpur

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