We are seeking a Senior AI/ML Engineer to design, develop, and deploy production-grade AI/ML solutions within client's organization. This role focuses on building Generative AI applications, multi-agent systems, and advanced retrieval pipelines that drive measurable business impact. You will work at the intersection of cutting-edge AI research and enterprise software engineering, collaborating with data scientists, platform engineers, and domain experts across R&D;, supply chain, and commercial functions.

Basic Ask
Tier 1 college
Accountable
Solid planning skills and should be able to work on the plan with the technical lead / architect
Robust GenAI development skills alongside classical ML/NLP foundations
Planning capability – able to lead technical planning for AI sprints and agree to delivery plans crafted by engineering leads
Accountable, self-driven, with a bias toward shipping production-grade solutions
Minimum 2 years hands-on experience building and deploying GenAI / LLM applications in production

Key Responsibilities

Generative AI & LLM Development




Design, develop, and deploy Generative AI applications using LLMs (GPT-4, Claude, Gemini, open-source models) for enterprise use cases
Build and orchestrate multi-agent systems using frameworks like LangGraph, LangChain, CrewAI, or AutoGen with function calling and tool use
Implement Retrieval-Augmented Generation (RAG), Graph RAG, and hybrid retrieval pipelines using vector databases (Pinecone, Weaviate, Chroma, pgvector)
Apply prompt engineering, chain-of-thought reasoning, and context engineering techniques to optimize model outputs
Fine-tune LLMs and embedding models for domain-specific tasks using LoRA, QLoRA, or full fine-tuning approaches
Implement guardrails, content filtering, and safety mechanisms for responsible AI deployment

ML Engineering & MLOps
Build end-to-end ML pipelines – data ingestion, feature engineering, model training, evaluation, and deployment
Implement

📌 Genai Lead Bengaluru
🏢 Relevance Labs
📍 Bengaluru