Senior Software Engineer Full Stack, AI-Native
Job Description
Job Description
Senior Software Engineer (Full-Stack, AI-Native)
Location: Live in Denver or Los Angeles — your choice. Hybrid, 2 days a week in our office in whichever city you call home · Full-time · $160k–$190k base + equity
About us
We help people navigate their mental health and wellbeing. We partner with employers and health plans to give their members one place to understand their coverage, find care, and get support — including an AI coach built right into the product.
We're a small team shipping a production healthcare application, so every engineer works on things that matter and owns them end to end. And you get to pick your city: our team is split between Denver and Los Angeles, and you can live and work from either one.
The role
We're hiring a senior full-stack engineer who has made AI a core part of how they build software, not a novelty. This isn't a machine learning research role — you won't train models or tune GPUs. You'll ship product in a modern TypeScript/Next.js stack, with AI woven into both the product and your own workflow.
Two things set this role apart from a standard senior web position:
- You build with AI. You've moved well past autocomplete. You direct agentic coding tools through real, multi-step work, you know exactly where they break, and you own every line they produce.
- You build AI into the product. You've shipped LLM-backed features to real users and lived with them in production: prompts, tool calls, evals, tracing, cost, latency, and failure modes.
What you'll do
- Own features end to end across our Next.js/React/TypeScript app, Prisma/Postgres backend, and AWS infrastructure.
- Extend our AI coach and build new LLM-powered member experiences: retrieval over benefits data, structured extraction, guided flows, and agentic tool use against our own APIs.
- Design evaluation and observability for AI features, so we know when they get worse — not just when they crash.
- Push our AI-assisted development practice forward: agent instructions, reusable skills, hooks, MCP integrations, and review practices that keep quality high as velocity climbs.
- Handle sensitive health data responsibly. PHI boundaries, redaction, audit trails, and vendor data agreements are part of the design, not an afterthought.
- Review code — whether a human or an agent wrote it — with a critical eye. Mentor teammates and raise the bar on testing and reliability.
What we're looking for
Core engineering
- 5+ years building production web applications, with deep TypeScript, React, and Node experience. Next.js is a strong plus.
- Comfort across the stack: relational data modeling (we use Prisma and Postgres), auth flows, caching, background jobs, and cloud deployment (AWS, Docker, Terraform or similar).
- A real testing habit at every layer — unit, component, and end-to-end. We use Vitest, Storybook, Cypress, and Playwright.
- Strong product judgment and the ability to work directly with design, clinical, and partner-facing teammates.
AI fluency (the part that sets you apart)
- Daily, expert use of agentic coding tools such as Claude Code, Cursor, or Codex. You write project instructions and reusable skills for your agents, hand them multi-step tasks, and review the output like a senior reviewer, not a rubber stamp.
- Hands-on experience shipping LLM features: prompt design and versioning, structured outputs, tool/function calling, streaming UIs, retrieval-augmented generation, and multi-turn conversation state.
- You've run evals and traced production LLM traffic (LangSmith, Braintrust, Langfuse, or homegrown), and you can explain what changed the last time a model version shifted underneath you.
- You understand the cost–latency–quality triangle and have made real trade-offs: model selection, caching, prompt compression, and fallback strategies.
- You're clear-eyed about limits. You know when an LLM is the wrong tool, how to constrain one when it's the right tool, and how to keep a hallucination from ever reaching a member.
Nice to have
- Healthcare, benefits, or other regulated-data experience (HIPAA, SOC 2).
- Building MCP servers or internal agent tooling for a team.
- Experience with Clerk, Stripe, or Sentry.
- Contributions to AI developer tooling, open source or internal.
How we work
AI is part of our engineering culture, not a side experiment. Our repository ships with agent configuration, we maintain shared skills for code review and security checks, and we expect engineers to spend more of their time on judgment and less on typing.
We also expect the opposite discipline: no unreviewed AI-generated code lands, and "the agent wrote it" is never an explanation for a bug.
Where you'll live and work
You choose your home base: Denver or Los Angeles. We have offices in both cities, and you'll come in 2 days a week to the one where you live. The rest of the week is yours to work from home. Whether you'd rather be near the Rockies or the Pacific, you'll be part of one team.
Interview process
- Intro call (30 min). Your background, our roadmap, mutual fit.
- Technical exercise (60 min). One-on-one code review exercise and technical discussion.
- Engineering interview (60 min). Live coding and system design discussion with the engineering team.
- Cross-functional team conversation (45 min). Meet the people you'd work with.
Compensation and benefits
- $160k–$190k base salary
- Equity
- Health, dental, and vision
- 401(k)
- Unlimited PTO
- Hybrid: 2 days a week in office, in Denver or Los Angeles — wherever you choose to live
\nCompany Description
Healthcare company with a cool behavioral health platform
Company Description
Healthcare company with a cool behavioral health platform