
Staff Full-Stack Engineer, Applied AI
hims & hers
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $200,000 - $240,000 per year
Job Level
Lead
Tech Stack
AWSDistributed SystemsJavaScriptNext.jsPythonReactTypeScript
About the role
- Lead architecture and platform development
- Design and own core AI workflow platforms, orchestration systems, and shared SDKs that power intelligent healthcare experiences.
- Build scalable, reliable systems for LLM orchestration, grounding, evaluation, and agent-like workflows.
- Create reusable frameworks and patterns that other engineering teams can adopt across the company.
- Drive multi-quarter technical initiatives and help bridge AI research prototypes with production-grade systems.
- Partner closely with Product across multiple verticals
- Work with Pharmacy, E-commerce, Care, and Operations to bring AI-powered features to life, from patient-facing journeys to internal efficiency tools.
- Collaborate on product strategy, helping translate ambiguous ideas into clear technical plans.
- Support teams in releasing features quickly through incremental, high-velocity delivery cycles.
- Ensure user-facing AI experiences meet expectations for performance, reliability and usability.
- Champion safety, privacy, and clinical integrity
- Develop evaluation frameworks and observability systems that measure AI behavior, grounding, safety, and quality.
- Establish guardrails and patterns that ensure all AI interactions comply with HIPAA, security-by-design, and privacy-first principles.
- Work with clinical, legal, and AI safety partners to ensure our systems are trustworthy and appropriate for healthcare use.
- Elevate engineering excellence
- Mentor engineers and help cultivate strong engineering practices across the Applied AI organization.
- Lead design reviews and contribute to architectural governance across engineering teams.
- Improve developer experience and remove platform bottlenecks that slow down product teams.
- Raise the overall quality bar by championing clear standards for reliability, observability, testing, and iteration.
- Build and ship across the full stack
- Develop features and infrastructure using TypeScript (AWS, Cloudflare Workers, React/Next.js) and Python (Databricks, orchestration, evaluation).
- Integrate and evaluate LLMs and ML systems through unified AI gateway.
- Build secure APIs and connectors that link to domains like EHR, Pharmacy, Payments, Orders, and Care.
- Contribute to shared libraries that standardize schemas, tool contracts, and developer experience.
Requirements
- 8+ years of professional experience across backend services, frontend applications, distributed systems, and data/ML tooling.
- Strong proficiency in TypeScript and Python, with experience building production systems in both languages.
- Deep familiarity with LLM- or ML-based systems and the architectural patterns needed to operate them safely at scale.
- Experience leading major technical initiatives that span multiple teams or product areas.
- A product-driven mindset with a bias toward fast, incremental delivery and continuous learning.
- Strong communication and collaboration skills across engineering, product, design, operations, and clinical teams.
- A deep appreciation for safety, privacy, and security — ideally with experience in a regulated domain such as healthcare, fintech, or life sciences.
Benefits
- Competitive salary & equity compensation for full-time roles
- Unlimited PTO, company holidays, and quarterly mental health days
- Comprehensive health benefits including medical, dental & vision, and parental leave
- Employee Stock Purchase Program (ESPP)
- 401k benefits with employer matching contribution
- Offsite team retreats
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
TypeScriptPythonLLM systemsML systemsAPI developmentcloud computingorchestrationevaluation frameworksfull stack developmentdistributed systems
Soft skills
leadershipcommunicationcollaborationmentoringproduct-driven mindsetincremental deliverycontinuous learningengineering excellenceproblem-solvingorganizational skills