AI Engineer for Field Deployment in Health Tech

Habitat Health

California (MO)

Hybrid

USD 181,000 - 235,000

Full time

14 days+
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Job summary

Habitat Health is hiring a Forward-Deployed Engineer to design, build, and deploy AI-enabled tools across clinical, operational, and administrative workstreams. You’ll own data layers, integrations, prompts, and production deployments, guiding products from prototype to production with executive alignment.

You’ll prioritize high-value AI opportunities, ensure quality and privacy standards, and collaborate with operations, data, and compliance teams in a hybrid work setting requiring travel to

Qualifications

  • 3–6+ years of software engineering with end-to-end production systems experience.
  • Experience building with modern AI tooling and agents/prompting logic.
  • Hands-on engineering across the full stack in an early-stage setting.
  • Strong product judgment and ability to translate complex workflows into solutions.
  • Analytical mindset with metrics, adoption, and impact emphasis.

Responsibilities

  • Design, build, test, and ship AI tools, copilots, agents, and automations embedded in daily work.
  • Own data layer, integrations, prompts, evaluation, and UI for each tool end-to-end.
  • Run evaluations against operational/clinical expectations and debug failures.
  • Maintain production tools and write user-friendly documentation.

Skills

Software engineering
AI tooling
End-to-end delivery
Product judgment
Workflow understanding
Data-driven decision making
Documentation & ownership
Strong communication
Hybrid work willingness
Medical clearance / compliance
CA driver’s license

Tools

Salesforce
Epic

Job description

Habitat Health is hiring a Forward-Deployed Engineer to design, build, and deploy AI-enabled tools across clinical, operational, and administrative workstreams. You’ll own data layers, integrations, prompts, and production deployments, guiding products from prototype to production with executive alignment.

You’ll prioritize high-value AI opportunities, ensure quality and privacy standards, and collaborate with operations, data, and compliance teams in a hybrid work setting requiring travel to

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