Fractional AI
Staff Software Engineer (SF/NY)
San Francisco Office · Staff+
Sponsorship not specifiedDetected 84 days ago
LLMsDesign SystemsICD-10
About the role
- You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines.
- Specific interest in applying software engineering fundamentals to AI systems.
Responsibilities
- Build agents that write, test, and deploy their own software packages?
- We're backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital.
- Regular events to build camaraderie and a strong team spirit.
- We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over.
- The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.
- 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.
Requirements
- 8+ years of engineering experience, with deep care for the craft.
- Comfort talking with senior technical stakeholders.
- You have outsized autonomy on each product - but you won't have a year to polish a single system.
- 8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines.
- Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.
- Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.
- High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture.
- Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty-with yourself and your team.
- We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over.
- After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI.
- A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product - but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.
- Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it - we recommend using the interview process to hear what our engineers think.
- Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world's best applied AI team.
Compensation
- A typical engineer here ships two to three products per year and learns from dozens more.
- 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.
Benefits
- 🏥 Life Insurance: Providing peace of mind for you and your loved ones.
- 📈 401k with Matching: Invest in your future with our company-matched retirement plan.
- 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.
- 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.
- 🚑 Health FSA: Manage out-of-pocket health expenses effectively.
- 🚌 Commuter Benefits: Make your travel to work easier and more affordable.
- How do you turn a decades-old dataset into an industry-leading medical coding agent?
Company info
- We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world's best applied AI team.
- We're building a culture that attracts and retains top applied AI talent, and we stress test large decisions through the perspective of our world class builders.
- San Francisco, CA
- New York, NY
- To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices.
- We are a team of experienced builders who care deeply about getting complex AI systems into production, with strong conviction about what makes them succeed.
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This listing is sourced directly from Fractional AI's careers page and normalized into a canonical job model.