Senior AI Solutions Engineer – Generative AI, Agentic AI

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

📋 Description

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

• Deploy enterprise AI tools for Patient Services applications, such as intake automation, workflows for missing information, detection of adverse events, workload queue intelligence, QNCR automation, and chat functionality with claims.

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

• Implement MCP server integrations and define agent tools/functions that safely expose enterprise systems.

• Incorporate AI features into Salesforce Health Cloud, MuleSoft, and various Java SDLC touchpoints.

• Develop reusable prompt templates and agent patterns to promote broader engineering use.

• Contribute quality-assured, version-controlled components to the shared prompt and pattern library.

• Oversee the agent lifecycle from initial build and deployment to monitoring, evaluation, and eventual retirement.

• Create evaluation harnesses for pre-production quality assessments.

• Review AI-generated code in Salesforce, MuleSoft, and Java against ACTICS quality benchmarks.

• Monitor deployed agents for drift, cost, latency, and accuracy, making necessary adjustments.

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

• Lead the establishment and promotion of reusable agent patterns, a prompt library, and practices for operational evaluation and monitoring.

⛳️ Requirements

• Over 5 years of experience in software engineering focused on building production systems.

• Proficient in Python.

• Knowledgeable in JavaScript/TypeScript.

• Practical experience with a cloud AI platform and its SDK, with a strong preference for Vertex AI.

• Experience in prompt engineering and LLM application development using Claude, Gemini, or similar models.

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

• Familiarity with CrewAI, LangChain, LangGraph, or Vertex Agent Builder.

• Experience in integrating REST/GraphQL APIs.

• Capable of working in a follow-the-sun model alongside an onshore lead.

• Preferred experience with MCP servers and agent tooling standards.

• Background in healthcare or life sciences technology and knowledge of PHI/HIPAA regulations preferred.

• Preferred experience in Salesforce Apex/LWC or Java development.

• Experience with BigQuery, PostgreSQL, or similar data platforms preferred.

🏝️ Benefits

• Option for remote work.

• Equal Opportunity Employer.

• Inclusive culture that values diversity.

• Commitment to employee development and support for the growth of others.