Senior AI Engineer, Internal Solutions

Lyrahealth

United States

On-site

USD 140,000 - 210,000

Full time

9 days ago

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Job summary

Lyra Health is seeking a Sr. Software Engineer to accelerate how Lyra operates by embedding AI into internal workflows and building AI-powered tooling in production. You will own outcomes—from discovery through deployment and adoption—within cross-functional teams across the company.

You will work on integrating agentic software with Python/Java microservices, defining success metrics, and driving measurable efficiency gains while maintaining high security standards.

Qualifications

  • BS in CS or related technical field.
  • 6+ years building enterprise or consumer web apps, ideally with Python or Java/Spring.
  • Hands-on experience with LLMs in production: agentic tools, prompt engineering, evals, and workflows.
  • Ability to work with non-engineering stakeholders to translate problems into shipped software.
  • Strong judgment on when AI adds genuine value in healthcare contexts.

Responsibilities

  • Embed with internal teams to map workflows and scope AI-driven solutions with measurable efficiency gains.
  • Own full lifecycle from discovery to deployment, adoption, measurement, and iteration.
  • Build and improve AI-powered tools, agents, and automations integrated with microservices, apps, and third-party systems.
  • Drive adoption and raise technical capabilities through internal tooling and platform enhancements.
  • Define metrics to prove impact and communicate results to leadership.

Skills

Python
Java/Spring
LLMs in production
Stakeholder communication
Proactive self-starter

Education

BS in CS or related field

Tools

Python
Java/Spring

Job description

Lyra Health is seeking a Sr. Software Engineer to accelerate how Lyra operates by embedding AI into internal workflows and building AI-powered tooling in production. You will own outcomes—from discovery through deployment and adoption—within cross-functional teams across the company.

You will work on integrating agentic software with Python/Java microservices, defining success metrics, and driving measurable efficiency gains while maintaining high security standards.

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