J&
AI Product Engineer
Jack & Jill
San Francisco · On-site Full-time Mid Level 3w ago
About the role
Company Description
$55M Series A applied AI startup backed by Elad Gil, Patrick Collison, and Andrej Karpathy
Job Description
You will build and deploy frontier AI applications for global institutions, including national healthcare systems and sovereign governments. As a full-stack owner, you will sit directly with stakeholders to define specs and ship solutions that automate complex workflows, from construction permitting to energy supply chain optimization, delivering massive real-world economic impact.
Location
San Francisco, USA
Why this role is remarkable
- Work at the direct intersection of frontier AI and critical infrastructure, delivering tangible value like $375M in unlocked capital for sovereign governments.
- Join an elite technical team of 70+ experts from Tesla, Google DeepMind, and NVIDIA, operating with the speed of a startup and the scale of national institutions.
- Exceptional pedigree and backing from Silicon Valley's most influential builders, providing unique access to mentorship and high-stakes, high-impact projects.
What You Will Do
- Own the end-to-end product lifecycle from initial customer discovery with ministers and CEOs to designing React/TypeScript frontends and scalable backends.
- Design and deploy advanced AI-integrated software solutions that automate manual processes in government, healthcare, and industrial energy sectors.
- Build scalable data pipelines and optimize application performance for production systems that impact millions of citizens and national infrastructure.
The ideal candidate
- At least 4+ years of professional experience as a full-stack engineer with a proven track record of building products from zero.
- Mastery of modern web tooling including React, TypeScript, and backend languages such as Node, Python, or Go, with a strong CS background.
- Entrepreneurial mindset with the ability to manage customer relationships, define product strategy, and thrive in an ambiguous, fast-paced San Francisco environment.
Skills
GoNodePythonReactTypeScript
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