Sr. Software Engineer - Internal Efficiency

4 hours, 57 minutes ago
Full-time
Senior
Software Development
Lyra Health

Lyra Health

Lyra Health is a global leader in mental health benefits, connecting companies and employees to world-class therapists and coaches. Their innovative platform offers fast, reliable access to evidence-based care for organizational well-being.

Health Care Providers & Services
1K-5K
Founded 2015
$627M raised

Description

  • Embed with internal teams to map workflows, identify bottlenecks, and scope AI-driven solutions with measurable outcomes.
  • Own the full lifecycle from discovery and prototyping through deployment, adoption, measurement, and iteration.
  • Build and improve AI-powered tools, agents, and automations across internal systems and applications.
  • Integrate solutions with Python and Java-based microservices, web and mobile apps, and third-party systems.
  • Drive broader adoption of agentic software development across engineering and expand internal technical capabilities.
  • Evaluate emerging AI tools, models, and patterns and turn successful experiments into durable capabilities.
  • Define and track impact metrics such as time saved, throughput, quality, and cost.
  • Collaborate with engineering, data science, product management, design, security, and clinical/operational teams.
  • Promote best practices and high standards for quality, security, and responsible handling of sensitive data in AI workflows.
  • Work directly with non-engineering stakeholders to translate ambiguous business problems into shipped software and drive adoption.

Requirements

  • BS in Computer Science or a related technical field.
  • 6+ years of experience developing enterprise or consumer web applications.
  • Experience with Python or Java/Spring is strongly preferred.
  • Hands-on experience building with LLMs in production.
  • Experience with agentic tools and frameworks, prompt and context engineering, and evals.
  • Experience using Claude and Codex in development workflows.
  • Ability to work directly with non-engineering stakeholders and translate business problems into software.
  • Strong judgment about when AI adds value versus risk, especially in a healthcare context.
  • Highly proactive, self-starting approach with comfort operating in a high-autonomy role.

Interested in this position?

Apply directly on the company website

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