Lead, AI Software Engineer

How You’ll Make An Impact

At Strive Health, patients come first. We’re on a mission to transform chronic conditions by identifying risk earlier, coordinating thoughtful care, and supporting people through every stage of their health journey.

Our work reduces emergency visits, improves outcomes, and helps patients live fuller lives. You’ll work alongside passionate Strivers who care deeply about making an impact, show up for one another as One Team, and find ways to elevate the everyday.

If you’re looking for meaningful work where your contributions truly matter, you’ll feel right at home at Strive!

Benefits Perks

Hybrid-Remote Flexibility – Work from home while fulfilling in-person needs at the office, clinic, or patient home visits.

Comprehensive Benefits – Medical, dental, and vision insurance, employee assistance programs, employer-paid and voluntary life and disability insurance, plus health and flexible spending accounts.

Financial Retirement Support – Competitive compensation with a performance-based bonus program, 401k with employer match, and financial wellness resources.

Time Off Leave – Paid holidays, vacation time, sick time, and paid birthgiving, bonding, sabbatical, and living donor leaves.

Wellness Growth – Family forming services through Maven Maternity at no cost and physical wellness perks, mental health support, and an annual professional development stipend.

To learn more about our offerings, click here .

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.

What You’ll Do

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. This is a hybrid position based in Denver, CO with an expectation to work onsite at our headquarters two days per week to collaborate, connect, and enjoy the energy of our office culture. Candidates should be located within a commutable distance to our Denver-based HQ.

The Day to Day

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,…