This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Generative AI Engineer (Agentic AI & RAG) based in India.
This is a hands-on engineering role focused on building production-grade generative AI systems for complex healthcare and patient-services use cases.
You’ll turn enterprise AI strategy into working agents, RAG pipelines, integrations, and reusable engineering patterns.
The role combines advanced Python development with LLM application development, agent orchestration, retrieval architecture, and enterprise integrations.
You’ll work across platforms including GCP, Vertex AI, Claude, Gemini, Salesforce, MuleSoft, and Java-based systems.
Your work will help automate critical workflows such as intake, claims, adverse-event detection, workload management, and quality processes.
You’ll own AI solutions throughout their lifecycle, from development and evaluation to deployment, monitoring, optimization, and retirement.




This is an opportunity to build meaningful AI technology in a regulated healthcare workplace while establishing standards that other engineering teams can reuse.
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Accountabilities:
Design, develop, and productionize AI agents using Vertex AI Agent Builder, Claude APIs, Gemini Enterprise, and related enterprise AI technologies.
Build AI-powered workflows for priority patient-services use cases, including intake automation, missing-information workflows, adverse-event detection, workload queue intelligence, QNCR automation, and chat-with-claims capabilities.
Develop and maintain production-grade RAG pipelines, including vector stores, embeddings, retrieval strategies, and data-access workflows.
Implement MCP server integrations and agent tools/function definitions that allow AI agents to interact safely with enterprise systems.
Integrate AI capabilities into Salesforce Health Cloud, including Apex and LWC, as well as MuleSoft/DataWeave and Java-based SDLC environments.

📌 Sr Generative AI Engineer (India)
🏢 Jobgether
📍 India