Lead AI Software Engineer, Strive Health

• 7+ years of experience in software engineering, data engineering, machine learning engineering, or a closely related field, preferably in healthcare or other regulated technology environments
• 2+ years of hands-on experience building and operating AI-powered systems (e.g., generative AI, agentic workflows, RAG applications), beyond surface-level usage of coding assistants
• Internet Connectivity - Min Speeds: 3.8Mbps/3.0Mbps (up/down); Latency < 60 ms
• Ability to travel and be onsite to meet business needs (up to 10% travel)
• You are energized by coaching and mentoring — you enjoy helping others build intuition about AI tools, not just handing them answers
• You are a curious, lifelong learner who actively explores emerging AI capabilities and thoughtfully evaluates when and how to apply them in a production environment
• You communicate politely, clearly, and precisely, and you are comfortable translating between deeply technical discussions and executive- or clinician-friendly language
• You celebrate diversity, equity, and inclusion, and you enjoy collaborating with colleagues from a wide range of backgrounds and disciplines
• You are self-motivated and detail-oriented, with a bias toward action and shipping incremental value safely
• You are team-first: you value shared wins, give and receive feedback openly, and help foster a culture of trust, fun, innovation, and continuous improvement
• Please apply even if you feel you do not meet all qualifications

Desirable

• We are building enterprise-grade AI capabilities to operate kidney care services at scale
• The Lead AI Software Engineer sits within Strive’s AI Center of Excellence (AI CoE). This role focuses on helping every engineer at Strive design, build, and ship AI-enabled software safely and effectively — from AI-assisted development workflows to agentic and RAG-based applications that support our clinical and business teams
• This is not a traditional "lead coder" role. While you will absolutely contribute hands-on to AI-forward applications and pipelines, what differentiates this role is your responsibility to upskill and mentor other engineers, and change the way work gets done
• You will be a thought leader, coach, and mentor — the person other engineers look to when they want to understand what an agent is doing, why a context strategy is failing, or how to bend a tool like Claude Code to a hard problem
• You will lead by example, working side-by-side with Strivers to replace the mechanical parts of our work with efficient AI tools while protecting the human relationships that make our team and care model special
• As a Lead AI Software Engineer, you will serve as a senior individual contributor and player-coach in the AI CoE, partnering across Technology and the business to embed AI into how Strive builds products and delivers care-supporting tools
• You will also help reshape the software development lifecycle itself. We are moving toward behavior-driven and spec-driven development, expanding our use of skills, agents, and MCP servers, and rethinking the merge request process so that AI-assisted code reviews coach junior engineers as well as critique their work
• You will help define those changes — and then help the rest of engineering to adopt them
• Because the AI CoE sits at the intersection of product, engineering, and clinical strategy, you will work closely with Product Management, the VP of Engineering, the VP of Product, and the Chief Technology Officer, as well as clinical and business stakeholders, to identify where thoughtful application of AI can produce real gains for the business and for the patients we serve
• Coach and upskill engineers across Strive on AI-assisted coding, agentic workflows, and modern context engineering practices, with a focus on safe, repeatable patterns that teams can adopt independently
• Lead the rollout, configuration, and ongoing maturation of our AI-assisted development tooling (e.g., Claude Code), including experimentation with skills, agents, and MCP servers, and translating findings into best practices
• Help define and evangelize behavior-driven and spec-driven development practices, including AI-readable specs, architecture diagrams, and architecture decision records (ADRs) that make intent and context clear to both humans and AI
• Partner with engineering leadership to introduce AI-assisted code reviews into our GitLab merge request workflow, including patterns that provide coaching feedback for junior engineers while maintaining high quality and safety
• Design and build reference implementations of AI-forward applications — generative, agentic, and RAG-based — that demonstrate what is possible and create reusable patterns, libraries, and templates for other teams
• Collaborate with Product, the VP of Engineering, the VP of Product, the CTO, and other leaders to identify, prioritize, and sequence high-leverage AI opportunities in the product and platform roadmap
• Work closely with security, compliance, and data teams to ensure that AI tools and applications handling PHI and other sensitive data adhere to Strive’s security, privacy, and governance requirements
• Communicate complex AI topics clearly to non-technical audiences (including clinical and business stakeholders and senior executives), translating technical trade-offs into language that supports informed decision-making
• Contribute to standards and documentation for AI usage across engineering, including coding guidelines, prompt and context patterns, agent/skill catalogs, and runbooks for common AI-assisted workflows
• Meet in person with internal stakeholders to facilitate team and business priorities/opportunities, including training sessions, workshops, and demos, as needed