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EVERSANA

Commercial services for pharmaceutical lifecycle management

AI Solutions Engineer - Generative AI & Agentic AI

AI Application EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedRemote

About the Job

Requirements

  • At least 5 years of software engineering experience, including hands-on production-system development.
  • Advanced Python skills and competence in JavaScript or TypeScript.
  • Direct experience with a cloud AI platform and its software development kit; Vertex AI is strongly preferred.
  • Demonstrated prompt engineering and large language model application development with Claude, Gemini, or equivalent models.
  • Practical experience with retrieval-augmented generation, vector databases, embeddings, and retrieval design.
  • Familiarity with agent orchestration frameworks such as CrewAI, LangChain, LangGraph, or Vertex AI Agent Builder.
  • Experience integrating with REST or GraphQL APIs; Salesforce or MuleSoft integration experience is a plus.
  • Ability to work on a follow-the-sun model with an onshore lead.

Responsibilities

  • 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 retrieval-augmented generation pipelines, vector stores, embeddings, and retrieval workflows using Patient Services data.
  • Implement Model Context Protocol server integrations and agent tool or function definitions that safely expose enterprise systems to agents.
  • Integrate AI capabilities into Salesforce Health Cloud using Apex and Lightning Web Components, MuleSoft using DataWeave, and Java software development lifecycle touchpoints.
  • Build reusable prompt templates and agent patterns for adoption by the broader engineering team.
  • Contribute quality-reviewed, version-controlled components to the shared prompt and pattern library.
  • Own the agent lifecycle from building and deployment through monitoring, evaluation, and retirement.
  • Establish evaluation harnesses to test agents against defined quality standards before production.
  • Review AI-generated code produced by Salesforce, MuleSoft, and Java developers to ensure it meets ACTICS quality standards.
  • Monitor deployed agents for drift, cost, latency, and accuracy, and remediate issues as needed.
  • Build and ship an intake automation minimum viable product and at least two additional AI workflow minimum viable products to one or more programs during the first year.
  • Establish reusable agent patterns and a prompt library and support their adoption by other engineers.
  • Operationalize agent evaluation and monitoring practices for every production agent.

Desired Qualifications

  • Experience with Model Context Protocol servers and agent tooling standards.
  • Background in healthcare or life-sciences technology and awareness of protected health information and Health Insurance Portability and Accountability Act constraints.
  • Salesforce development using Apex or Lightning Web Components, or Java development experience.
  • Experience with BigQuery, PostgreSQL, or comparable data platforms.

About the Company

EVERSANA

Commercial services for pharmaceutical lifecycle management

EVERSANA provides integrated commercial services to pharmaceutical and biotech companies across the product lifecycle. It helps with drug pricing, market access, reimbursement, patient adherence, and product delivery through services such as consulting, market access strategies, patient services, and field deployment, delivered via a global network of 30+ locations. It differentiates itself with end-to-end lifecycle support, a broad global footprint, and recognized industry credentials, enabling customized, scalable solutions for both large pharma and smaller biotech clients. Its goal is to help clients bring products to market, optimize pricing and access, improve adherence, and ensure efficient delivery to improve patient outcomes and commercial performance.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2018

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