AI Solutions Engineer – Generative AI, Agentic AI

🔥 3 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

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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 using Apex and LWC, MuleSoft using DataWeave, 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 end to end: build, deploy, monitor, evaluate, and retire • Establish evaluation harnesses to test agents against defined quality bars before production • Review AI-generated Salesforce, MuleSoft, and Java code for compliance with ACTICS quality standards • Monitor deployed agents for drift, cost, latency, and accuracy, and remediate as needed • Deliver an Intake Automation MVP and at least two additional AI workflow MVPs during the first year • Establish reusable agent patterns, a prompt library, and operational evaluation and monitoring practices

🎯 Requirements

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

🏖️ Benefits

• Great Place to Work certification • Equal Opportunity Employer • Inclusive, diverse workplace culture • Employee development and talent investment culture • Remote work availability • Follow-the-sun work model

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