Senior AI Engineer

Overview

Senior AI Engineer focused on designing, building, and deploying production-grade agentic AI systems and GenAI solutions for imaging/Imaging360 healthcare use cases.

What you'll do

• Design, build, and deploy agentic AI systems with autonomous reasoning, planning, tool use, and human-in-the-loop workflows.
• Develop scalable AI/ML and GenAI solutions across the full lifecycle from ingestion and feature engineering to evaluation and deployment.
• Architect Retrieval-Augmented Generation (RAG) solutions combining structured and unstructured healthcare and workflow data with grounding and traceability.
• Design knowledge graph and GraphRAG solutions for multi-hop reasoning across imaging assets, clinical entities, devices, and workflows.
• Engineer evaluation and testing harnesses for agentic systems, including automated eval pipelines and red-teaming.
• Optimize token usage, latency, and inference cost via context engineering, caching, routing, batching, and output constraints.

What you'll need

• 10+ years of software engineering experience.
• Strong hands-on experience with Python and modern backend engineering (Java/TypeScript exposure preferred).
• Experience with machine learning, deep learning, NLP, LLM application development, embeddings, prompt engineering, and model evaluation.
• Experience designing AI agents and multi-agent workflows, including tool orchestration and reasoning/planning loops.
• Experience building retrieval pipelines with chunking, reranking, metadata filtering, vector databases, hybrid search, and grounded generation.
• Experience using graph databases such as Neo4j or Amazon Neptune with ontology/entity modeling and GraphRAG patterns.

Details

• Location: Bengaluru.
• Relocation assistance provided: Yes.