Staff Software Engineer - Internal Efficiency
Required skills
- Internal Efficiency
- AI-powered solutions
- LLMs
- agentic software development
- Claude
- Codex
- prompt engineering
- context engineering
- evals
- development workflows
Nice to have
- API integration
- production operations
Role summary
Lyra Health is seeking a Staff Software Engineer to embed with internal teams and accelerate company workflows using AI-powered solutions. This role focuses on identifying high-leverage opportunities, designing and building AI tools, agents, and automations, and driving their adoption to achieve measurable efficiency gains. The engineer will own the full lifecycle from discovery to iteration, integrating with existing Python and Java microservices and third-party systems. Key responsibilities include defining and tracking impact metrics, evaluating emerging AI technologies, and collaborating with cross-functional partners. The role requires strong experience with LLMs in production and the ability to translate ambiguous business problems into shipped software, particularly within a healthcare context.
Lyra is looking for an exceptional Staff Software Engineer to accelerate how Lyra itself works. We care deeply about making a difference in people's lives and hope you do too! Our goal? To embed AI into the daily workflows of teams across the company, from engineering and operations to clinical support functions, so that Lyrians spend less time on repetitive work and more time on what matters: getting people the mental health care they need.
This is not a platform team role at arm's length from its users. You will embed directly with internal teams, sit with them to understand how work actually gets done, identify the highest-leverage opportunities, and then design, build, ship, and iterate on AI-powered solutions in production. You own outcomes, not just code: adoption and measurable efficiency gains are the finish line, not the deploy.
We care deeply about making a difference in people’s lives and hope you do too!
This role can be carried out (hybrid) from our South San Francisco, CA headquarters, OR virtual (remote candidates must be based in the United States).
Responsibilities:
Embed with internal teams across the company to map their workflows, identify bottlenecks, and scope AI-driven solutions with clear, measurable efficiency outcomes
Take ownership of the full lifecycle: from discovery and prototyping through deployment, adoption, measurement, and iteration
Build and continuously improve AI-powered tools, agents, and automations, integrating with our Python and Java-based microservices, our web and mobile apps, and third-party systems
Drive the continued integration of agentic software development across engineering, expanding adoption, elevating our technical capabilities, and acting as a force for innovation
Evaluate emerging AI tools, models, and patterns; run fast experiments and convert the winners into durable internal capabilities
Define and track the metrics that prove impact (time saved, throughput, quality, cost) and communicate results to stakeholders and leadership
Work with fellow engineering team members to collaboratively create and refine technical designs and solutions
Collaborate with key partners including data science, product management, design, security, and operational and behavioral health teams
Follow and promote best practices during all phases of software development, adhering to the highest quality and security standards, including the responsible handling of sensitive data in AI workflows
Qualifications:
BS in CS or related technical field
8+ years of experience developing enterprise or consumer web applications, ideally using Python or Java/Spring
Hands-on experience building with LLMs in production: agentic tools and frameworks, prompt and context engineering, evals, and development workflows using Claude and Codex
Demonstrated ability to work directly with non-engineering stakeholders: eliciting requirements, translating ambiguous business problems into shipped software, and driving adoption of what you build
Strong judgment about where AI genuinely helps versus where it adds risk or noise, especially in a healthcare context
Must be highly proactive and a self-starter. This role has unusual autonomy: you will often be the one deciding what to build next, and everyone at Lyra contributes to design, product, front-end, back-end, and quality
Similar roles
- Content Innovation ManagerLyra · Remote · Remote
- Sr. Customer Development ExecutiveLyra · Remote · Remote
New Grad C++ Software EngineerWolverine Trading · Chicago, IL · Onsite
Software Engineer, IIARC Technology Solution · Nashua, NH · Onsite
Senior Software Engineer - USIRIS Software Group · Remote · Remote
Sr Lead Software EngineerJPMorganChase · Plano, TX · Onsite
