Senior GenAI Platform Engineer - Healthcare AI Backend

MedicalVirtual

Dallas (TX)

Remote

USD 180.000 - 240.000

Vollzeit

14 Tage+

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Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health benefits
401(k) plan with match
Tuition Reimbursement
PTO accrual Day 1

Zusammenfassung

MedicalVirtual is hiring a senior AI engineer to build and operate a production-grade GenAI platform for patient-facing and enterprise conversational experiences. You will design backend AI services in Python, orchestrate GenAI workflows, and integrate EHR/FHIR-backed experiences with strong security and observability.

The role emphasizes production-grade judgment, API security, tests, and ownership in a small fast-moving team, with benefits and a path to impact in healthcare AI.

Qualifikationen

  • 7+ years of professional software development experience.
  • Strong production experience with Python, asynchronous programming, backend APIs, and SOA.
  • Hands-on GenAI applications with Google ADK 2.x or similar orchestration.
  • Experience with LLM tool calling, multi-agent workflows, RAG, and safe guardrails.
  • Experience with LLM providers such as Vertex AI, OpenAI, or Anthropic.
  • Proficiency with FastAPI, pytest, Docker, CI/CD, and containerized deployments.
  • Security-focused with JWT/OAuth, secrets management, and secure service-to-service comms.
  • Ability to design safe healthcare data integration patterns (FHIR/EHR).
  • Experience with Azure and/or Google Cloud.
  • Strong debugging, testing, and operational problem-solving skills.
  • Ability to work in a small, fast-moving engineering team.

Aufgaben

  • Design, implement, and maintain backend AI services using Python 3.12+ and FastAPI.
  • Develop and operate agentic GenAI workflows with Google ADK 2.x as orchestration.
  • Build MCP tool servers and tools for healthcare workflows like care tasks and scheduling.
  • Integrate LLM providers and GenAI toolkits (Vertex AI, OpenAI, Anthropic) when needed.
  • Implement prompt engineering, RAG, structured output validation, and guardrails.
  • Design secure integration boundaries for FHIR, EHR, and patient data.
  • Protect PHI and credentials via secure JWT/OAuth, encryption, and audit-safe logging.
  • Leverage Azure and Google Cloud services and monitor via observability tooling.
  • Write automated tests with pytest, support CI/CD and containerized deployments.
  • Collaborate across product, architecture, security, clinical, and DevOps teams.
  • Engage in architecture reviews, production support, and incident response.

Kenntnisse

Python
Async programming
FastAPI
Google ADK
LLM tool calling
RAG
Guardrails
Security
Observability
Testing
CI/CD
Containerized deployments
JWT/OAuth
PHI protection
Azure/GCP
EHR/FHIR
Docker
LangChain
OpenTelemetry

Ausbildung

Tools

Docker
pytest
LangChain
Terraform
Kusto
OpenTelemetry

Jobbeschreibung

MedicalVirtual is hiring a senior AI engineer to build and operate a production-grade GenAI platform for patient-facing and enterprise conversational experiences. You will design backend AI services in Python, orchestrate GenAI workflows, and integrate EHR/FHIR-backed experiences with strong security and observability.

The role emphasizes production-grade judgment, API security, tests, and ownership in a small fast-moving team, with benefits and a path to impact in healthcare AI.

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