Back
Remote role, metro location, and mid-level title increase applicant density despite specialized LLM/agent skill requirements.
Specialized healthcare integrations and PHI awareness increase domain sensitivity, though LLM skills remain transferable.
Mandatory 5+ years plus specific Vertex/LLM, RAG, and integration skills create strict technical screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and productionize AI agents and workflows for Patient Services use cases on platforms like Vertex AI, Claude, and Gemini Enterprise.
Integrate AI capabilities into enterprise systems including Salesforce Health Cloud, MuleSoft, and Java SDLC components, creating reusable prompt templates and patterns.
Manage the full agent lifecycle including deployment, monitoring, quality evaluation, and remediation to meet production standards.
5+ years of software engineering experience with production system development.
Proficiency in advanced Python and JavaScript/TypeScript; experience with cloud AI platforms, preferably Vertex AI.
Demonstrated capability in prompt engineering, LLM application development, and knowledge of RAG, vector databases, and agent orchestration frameworks.
Experience integrating with REST/GraphQL APIs; Salesforce and/or MuleSoft integration experience is a strong plus.
Technical operator comfortable building production-grade AI agents and integrating complex AI workflows within regulated healthcare environments.
Experienced in using enterprise AI stacks and familiar with healthcare compliance considerations like PHI/HIPAA.
Engineer who can develop reusable tooling and standards with an emphasis on quality controls and cross-team adoption.