AI Solutions Engineer – Generative AI, Agentic AI

This is a fully remote position, open to applicants in India.

📋 Description

• Create and develop AI agents using Vertex AI Agent Builder, the Claude API, and Gemini Enterprise.

• Implement enterprise AI tools for Patient Services applications, such as intake automation, missing-information workflows, adverse-event detection, workload queue intelligence, QNCR automation, and chat-with-claims.

• Construct and manage RAG pipelines, vector stores, embeddings, and retrieval workflows utilizing Patient Services data.

• Execute MCP server integrations and define agent tools/functions that securely connect enterprise systems to agents.

• Incorporate AI capabilities into Salesforce Health Cloud via Apex and LWC, MuleSoft through DataWeave, and Java SDLC integration points.

• Develop reusable prompt templates and agent patterns for wider engineering adoption.

• Contribute quality-checked, version-controlled components to the collaborative prompt and pattern library.

• Oversee the complete agent lifecycle: build, deploy, monitor, evaluate, and retire.

• Create evaluation frameworks to assess agents against established quality standards prior to deployment.

• Audit AI-generated Salesforce, MuleSoft, and Java code to ensure compliance with ACTICS quality guidelines.

• Track deployed agents for drift, cost, latency, and accuracy, and make necessary corrections.

• Deliver an Intake Automation MVP and at least two additional AI workflow MVPs within the first year.

• Develop reusable agent patterns, a prompt library, and operational practices for evaluation and monitoring.

⛳️ Requirements

• Minimum of 5 years in software engineering with practical experience in building production systems.

• Proficiency in advanced Python.

• Skills in JavaScript/TypeScript.

• Direct experience with a cloud AI platform, particularly Vertex AI and its SDK.

• Proven expertise in prompt engineering and LLM application development with Claude, Gemini, or similar models.

• Hands-on experience with RAG, vector databases, embeddings, and retrieval system design.

• Knowledge of agent orchestration frameworks such as CrewAI, LangChain, LangGraph, or Vertex Agent Builder.

• Experience with REST/GraphQL API integrations.

• Familiarity with Salesforce and/or MuleSoft integrations is a significant advantage.

• Ability to work within a follow-the-sun model alongside an onshore lead.

• Preferred experience with MCP servers and agent tooling standards.

• A background in healthcare or life sciences technology, along with knowledge of PHI/HIPAA regulations, is preferred.

• Experience in Salesforce Apex/LWC or Java development is advantageous.

• Familiarity with BigQuery, PostgreSQL, or similar data platforms is preferred.

🏝️ Benefits

• Great Place to Work certification.

• Equal Opportunity Employer.

• Inclusive and diverse workplace culture.

• Commitment to employee development and talent investment.

• Availability of remote work options.

• Follow-the-sun work model.