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Full time 🤖 AI / ML

Sr Generative AI Engineer (Agentic AI & RAG) at EVERSANA (Waltz Health)

Listed by DevShelfHub

Pune, Maharashtra, India
Hybrid
Senior · 5–9 yrs

About the Role

Healthcare and life sciences organizations are rapidly adopting agentic AI to automate patient services workflows in regulated environments. EVERSANA (Waltz Health) is hiring a Senior Generative AI Engineer in Pune to build production-grade AI agents and RAG pipelines on GCP, Vertex AI, Claude, and Gemini Enterprise.

What you'll do

  • Design and build AI agents on Vertex AI Agent Builder, Claude API, and Gemini Enterprise
  • Productionize enterprise AI tooling for Patient Services use cases
  • Build and maintain RAG pipelines, vector stores, embeddings, and retrieval workflows
  • Implement MCP server integrations and agent tool/function definitions
  • Integrate AI capabilities into Salesforce Health Cloud (Apex, LWC), MuleSoft, and Java
  • Build reusable prompt templates and agent patterns for broader engineering adoption
  • Own agent lifecycle: build, deploy, monitor, evaluate, and retire
  • Establish evaluation harnesses for defined quality bars before production
  • Review AI-generated code ensuring ACTICS quality standards
  • Monitor deployed agents for drift, cost, latency, and accuracy

What we're looking for

  • 5+ years in software engineering with hands-on production systems experience
  • Advanced Python; competence in JavaScript/TypeScript
  • Direct experience with cloud AI platform (Vertex AI strongly preferred) and SDK
  • Demonstrated prompt engineering and LLM application development with Claude, Gemini, or equivalent

Skills & Technologies

Required

5+ years in software engineering with hands-on production systems experience Advanced Python; competence in JavaScript/TypeScript Direct experience with cloud AI platform (Vertex AI strongly preferred) and SDK Demonstrated prompt engineering and LLM application development with Claude, Gemini, or equivalent Practical experience with RAG, vector databases, embeddings, and retrieval design Familiarity with agent orchestration frameworks (CrewAI, LangChain, LangGraph, or Vertex Agent Builder) Experience integrating with REST/GraphQL APIs; Salesforce and/or MuleSoft integration a plus Comfortable working on follow-the-sun model with onshore lead

Benefits & Perks

  • Health Insurance
  • Flexible Leave Policy
  • Learning Budget
  • EPF / NPS

Why This Role is Good for Experienced Professionals

  • This hands-on builder role turns AI architecture into working, production-grade agents in a regulated healthcare environment — not just experimentation.
  • Design and build AI agents on Vertex AI Agent Builder, Claude API, and Gemini Enterprise
  • Productionize AI tooling for Patient Services: intake automation, adverse-event detection, chat-with-claims
  • Build and maintain RAG pipelines, vector stores, embeddings, and retrieval workflows
  • Implement MCP server integrations and agent tool/function definitions
  • Integrate AI into Salesforce Health Cloud, MuleSoft, and Java SDLC touchpoints
  • Own agent lifecycle end to end: build, deploy, monitor, evaluate, and retire
  • Establish evaluation harnesses for quality bars before production
  • Contribute to shared prompt/pattern library with version-controlled components
  • Work on follow-the-sun model with onshore lead in healthcare/life sciences
  • Exposure to PHI/HIPAA constraints and regulated environment best practices
  • Tools: CrewAI, LangChain, LangGraph, Claude Code, Cursor, BigQuery, PostgreSQL

About EVERSANA (Waltz Health)

EVERSANA is certified as a Great Place to Work globally, with a vision to create a healthier world. The company employs more than 7,000 people serving over 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. EVERSANA's products, services, and solutions help bring innovative therapies to market and support patients who depend on them. The organization embraces diversity in backgrounds and experiences, with a deliberate focus on building an inclusive team culture.
Industry
Technology
Company Size
500+
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Job Details

Type
Full time
Level
Senior
Experience
5–9 years
Location
Pune, Maharashtra, India
Work Mode
Hybrid
Category
AI / ML

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