Senior Generative AI Engineer – Agentic AI, RAG

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🔥 39 minutes ago

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EVERSANA

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

EVERSANA is a comprehensive service provider focused on integrated commercial solutions for the life sciences industry. The company offers a wide range of services including advisory and management consulting, regulatory consulting, patient services, market access strategies, pricing and revenue management, medical affairs, and digital transformation. EVERSANA is known for its expertise in drug commercialization, enabling companies to effectively launch and manage pharmaceutical products. With a platform powered by data and analytics, EVERSANA addresses challenges related to drug pricing, market access, patient adherence, and product delivery, helping companies optimize their commercial strategies and enhance patient outcomes. The company emphasizes innovation and has been recognized for its use of AI and data analytics within the life sciences sector.

📋 Description

• Design and build AI agents on Vertex AI Agent Builder, the Claude API, and Gemini Enterprise • Productionize enterprise AI tooling for Patient Services use cases including intake automation, missing-information workflows, adverse-event detection, workload queue intelligence, QNCR automation, and chat-with-claims • Build and maintain RAG pipelines, vector stores, embeddings, and retrieval workflows against Patient Services data • Implement MCP server integrations and agent tool/function definitions that safely expose enterprise systems to agents • Integrate AI capabilities into Salesforce Health Cloud, MuleSoft, and Java SDLC touchpoints • Build reusable prompt templates and agent patterns for broader engineering adoption • Contribute quality-reviewed, version-controlled components to the shared prompt and pattern library • Own the agent lifecycle from build and deployment through monitoring, evaluation, and retirement • Establish evaluation harnesses to test agents against defined quality standards before production • Review AI-generated Salesforce, MuleSoft, and Java code for ACTICS quality standards • Monitor deployed agents for drift, cost, latency, and accuracy, and remediate as needed • Ship an Intake Automation MVP and at least two additional AI workflow MVPs during the first year • Establish and drive adoption of reusable agent patterns, a prompt library, and operational evaluation and monitoring practices

🎯 Requirements

• 5+ years of software engineering experience building production systems • Advanced Python skills • Competence in JavaScript/TypeScript • Hands-on experience with production systems • Direct experience with a cloud AI platform and its SDK; Vertex AI strongly preferred • Prompt engineering and LLM application development experience with Claude, Gemini, or equivalent models • Practical experience with RAG, vector databases, embeddings, and retrieval design • Familiarity with CrewAI, LangChain, LangGraph, or Vertex Agent Builder • Experience integrating REST/GraphQL APIs • Comfortable working on a follow-the-sun model with an onshore lead • Experience with MCP servers and agent tooling standards preferred • Healthcare or life-sciences technology background and awareness of PHI/HIPAA constraints preferred • Salesforce Apex/LWC or Java development experience preferred • Experience with BigQuery, PostgreSQL, or comparable data platforms preferred

🏖️ Benefits

• Remote work option • Great Place to Work certified employer • Inclusive and diverse workplace • Professional development and investment in employee development • Equal Opportunity Employer