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Senior Software Engineer - Internal Efficiency

lyrahealth

New
Senior 🇬🇧 English
Python Java Spring LLMs Claude Codex

Job description

About the role

Lyra Health, a provider of evidence-based mental health care, is looking for a Senior Software Engineer to help make the company itself more efficient. The goal is to embed AI into the daily workflows of internal teams, from engineering and operations to clinical support, so employees spend less time on repetitive work. This is not a platform team role: you will work directly with internal teams, understand how work is done, and design, build, ship and iterate on AI-powered solutions in production, owning outcomes such as adoption and efficiency gains.

Key responsibilities

  • Embed with internal teams to map workflows, identify bottlenecks and scope AI-driven solutions with clear, measurable efficiency outcomes
  • Own the full lifecycle, from discovery and prototyping through deployment, adoption, measurement and iteration
  • Build and improve AI-powered tools, agents and automations that integrate with Python and Java-based microservices, web and mobile apps and third-party systems
  • Drive the integration of agentic software development across engineering and act as a force for innovation
  • Evaluate emerging AI tools, models and patterns, run fast experiments and turn winners into durable internal capabilities
  • Define and track metrics such as time saved, throughput, quality and cost, and share results with stakeholders and leadership
  • Work with data science, product management, design, security and operational and behavioral health teams
  • Follow best practices and quality and security standards, including the responsible handling of sensitive data in AI workflows

Required profile

  • BS in CS or a related technical field
  • 6+ years of experience developing enterprise or consumer web applications, ideally with Python or Java/Spring
  • Ability to work directly with non-engineering stakeholders, turning ambiguous business problems into shipped software and driving adoption
  • Strong judgment about where AI genuinely helps versus where it adds risk or noise, especially in healthcare
  • Highly proactive and self-starting, able to decide what to build next

Required skills

  • Hands-on experience building with LLMs in production: agentic tools and frameworks, prompt and context engineering, evals and development workflows using Claude and Codex
  • Python and/or Java/Spring

Questions fréquentes

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Source : ats:lever

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Published 6 days ago

Expires 1 month from now

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