Role: Generative AI Engineer
Experience Level: 3.5–7 Years
Location: Bangalore, Mumbai & Trivandrum
Role Summary:
We are seeking a hands-on and technically strong Generative AI Engineer to AI
Platform Capabilities team as part of the Platform Implementation Partner engagement. In this role, you will design, build, and deploy enterprise-grade Generative AI platform capabilities across four Local Business Units operating on GCP and Azure. Your primary focus will be on closing identified AI platform capability gaps by engineering production-ready, reusable GenAI components across the full AI stack - spanning the Decision & Orchestration Layer (RAG, Agent Orchestration, Semantic Router), the Execution Runtime Layer (LLM Gateway, ML Serving, Tool & Integration Runtime, Event Bus), and the Build & Lifecycle Layer (GenAIOps, AgentOps, MLOps).
You will work closely with the Use Case Implementation Partner and LBU Data & AI teams to ensure that all platform capabilities are built for reuse, comply with enterprise standards,



and are delivered within use case timelines across Agency and Operations domains. This is a deeply technical engineering role focused on building and operationalizing platform components, not managing client engagements.

Required Skills:
● Generative AI & RAG Engineering: Proven, hands-on experience building production RAG pipelines, including data ingestion, chunking strategy design, embedding selection, vector indexing (e.g., BigQuery Vector Search), retrieval logic, and deployment as API endpoints. Solid understanding of RAG evaluation metrics (Faithfulness, Answer Relevancy, Context Precision/Recall)
and continuous knowledge base updating pipelines.
● Agentic Architecture & Implementation: Demonstrated experience building multi-agent systems, including Semantic Router, Agent Orchestrator (with workflow management), Stateful Orchestration Runtime (Reasoning Engine), and Session State/Memory (LTM/STM) management. Ability to implement agent-to-agent co

📌 Senior Machine Learning Engineer (Mumbai)
🏢 Quantiphi
📍 Mumbai