About this role
Recruiting From Scratch (RFS Group)
AI Product Engineer
Full time
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San Francisco, CA | Hybrid
2 - 8 Years of Experience
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Who is Recruiting from Scratch:
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
AI Product Engineer
Location: San Francisco, CA (Hybrid – SoMa, 3 days/week onsite) Company Stage of Funding: Series B Office Type: Hybrid Salary: $160,000 – $260,000 + Competitive Equity Visa: Full sponsorship supported (including new H1B transfers)
Company Description
Our client is building AI infrastructure for healthcare systems, enabling hospitals and clinicians to deploy reliable clinical reasoning agents at scale.
Their platform powers agentic healthcare workflows used by major health systems including Mayo Clinic and Cleveland Clinic, helping clinicians automate operational and clinical decision-making tasks that directly improve patient outcomes.
The company recently closed a major Series B led by Sequoia and Khosla Ventures, has grown from $200K to $10M ARR within a year, and is rapidly scaling both engineering and product capabilities.
This is an opportunity to join a high-caliber AI product engineering team building mission-critical healthcare AI systems with direct real-world patient impact.
What You Will Do
- Own product features end-to-end from ideation through deployment
- Build and scale agentic AI workflows for healthcare systems
- Develop backend-heavy infrastructure for clinical reasoning systems
- Work across Python, Rust, React, TypeScript, Kubernetes, and AWS
- Build reliable long-running agent workflows
- Design and implement agent primitives and orchestration systems
- Develop scalable backend infrastructure for AI-powered healthcare products
- Contribute to frontend product experiences and user-facing tooling
- Collaborate directly with clinicians and healthcare stakeholders
- Translate user problems into production-ready AI systems
- Work across infrastructure, product engineering, and AI systems
- Improve reliability, scalability, and operational performance
- Participate in technical architecture and product decision-making
- Operate in a highly autonomous engineering environment with no PM layer
- Build net-new healthcare AI features with strong product ownership
- Contribute to async-first engineering workflows
Ideal Candidate Background
- 2–8 years of software engineering experience
- Strong backend engineering fundamentals
- Strong Python proficiency
- Frontend experience with React / TypeScript
- Experience shipping production-grade software systems
- Product-minded engineering approach
- Experience with AI agents or LLM-powered workflows
- Strong ownership mentality
- Ability to operate autonomously
- Comfort working in fast-moving startup environments
- Strong system design and architecture thinking
- Ability to balance technical quality with execution speed
- Experience collaborating directly with users or customers
- Strong communication and product intuition
Strong Signals
- Top-tier CS program (Stanford, MIT, Caltech, etc.)
- Rapid career progression
- Founding engineer or early startup employee experience
- Experience at high-bar engineering companies
- Healthcare or health-tech experience
- Agentic workflow experience
- LLM systems experience
- Backend infrastructure ownership
- Experience building production AI systems
- Strong product engineering instincts
- High ownership and reliability
- Async-first work style
- Infrastructure and DevOps familiarity
- Kubernetes / AWS experience
- Rust familiarity
- Ability to work without PM structure
- Customer-facing product ownership
- Experience working closely with clinicians or healthcare workflows
- Strong technical depth combined with product thinking
Compensation and Benefits
Base salary: $160,000 – $260,000
Competitive equity package
Series B growth-stage upside
Visa sponsorship support
Relocation assistance available
Hybrid SF work environment
High ownership engineering culture
Direct customer impact
Work alongside elite engineering and healthcare talent
Async-first, low-meeting culture
End-to-end product ownership
Opportunity to work on mission-critical healthcare AI systems
Why Join
This is an opportunity to build AI systems that directly impact patient care at scale.
You’ll work on frontier healthcare AI problems involving clinical reasoning, agentic workflows, and production-grade reliability for major hospital systems.
The engineering culture emphasizes ownership, autonomy, and deep product thinking — engineers own the full lifecycle of what they build.
If you want to work on meaningful AI infrastructure, operate with high autonomy, and help define the future of healthcare AI products, this role offers exceptional leverage and impact.
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