Model Capabilities Engineer

TypeSafe AI; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

100% covered health insurance

Daily lunch and dinner

Visa sponsorships

401K plans

Job summary

TypeSafe AI in San Francisco is seeking versatile engineers to advance model intelligence through data interfaces, datasets, and evaluation tools. You will blend product sense, data science, and engineering to improve reliability in production environments.

Our stack centers on Python and TypeScript, with Next.js and Kubernetes for orchestration. You will own end-to-end data tooling, evaluation frameworks, and close collaboration with product managers and customers.

Qualifications

• Generalist with strong coding ability and product intuition.
• High attention to detail and a strong bar for quality.
• Enjoy thinking beyond the code to how systems are used in the real world.
• Thrives in ambiguous problem spaces and finds creative solutions.
• Hands-on experience implementing LLMs and understanding their capabilities.

Responsibilities

• Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of our model.
• Build internal data-tooling and evaluation interfaces — fast — that make model development clearer (evaluation, debugging, data inspection).
• Develop and own evaluation frameworks to measure quality, reliability, and emergent characteristics across model iterations.
• Run rigorous analyses and experiments to understand how data, training choices, and targeted interventions impact model behavior.
• Turn raw model outputs and data into clear, inspectable UIs — owning a domain end-to-end, with craft and judgment over simple optimization.
• Partner closely with product managers and customers to translate real-world needs into concrete model and system improvements.
• Continuously iterate, learn, and co-discover new techniques for building exceptional, trustworthy AI products.

Skills

Strong coding ability

Product intuition

Generalist

Attention to detail

Systems thinking

Tools

Python

TypeScript

Next.js

Tailwind CSS

Kubernetes

Job description

About TypeSafe

We’re building prod, not god. TypeSafe is an AI lab pushing frontier model intelligence in a new direction, starting with System One Models. We combine the reasoning of LLMs with the reliability of code, for truly trustworthy AI. Our first model, Jev, launched in September 2026.

While others chase leaderboards, we’re rebuilding the LLM stack from first principles to make models smarter and also dependable enough to run in production. We’re a small, fast team backed by an $870M Series A led by a16z. Made in SF, with love. Come join the frontier.

About the role

We're looking for scrappy engineers who ship data-tooling interfaces fast. You will progress model intelligence through the interfaces, datasets, and evaluation tooling you build, combining product sense, data science, and engineering. You'll be part of the real "secret sauce" of TypeSafe: figuring out how our models can provide production-ready reliability in the real world.

Our tech stack is primarily Python. We also use TypeScript, Next.js, and Tailwind CSS for frontend, with Kubernetes for orchestration. We empower developers to use any tooling they find helpful for getting their job done, including AI and agents.

What you'll do

Check out our team video: https://vimeo.com/1231083924/22b52f6b1d

• Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of our model

• Build internal data-tooling and evaluation interfaces — fast — that make model development clearer (evaluation, debugging, data inspection)

• Develop and own evaluation frameworks to measure quality, reliability, and emergent characteristics across model iterations

• Run rigorous analyses and experiments to understand how data, training choices, and targeted interventions impact model behavior

• Turn raw model outputs and data into clear, inspectable UIs — owning a domain end-to-end, with craft and judgment over simple optimization

• Partner closely with product managers and customers to translate real-world needs into concrete model and system improvements

• Continuously iterate, learn, and co-discover new techniques for building exceptional, trustworthy AI products

We are looking for people who

• Are generalists with solid fundamentals, strong coding ability, and product intuition

• Maintain high attention to detail and a strong bar for quality

• Enjoy thinking beyond the code to how systems are used in the real world

• Are scrappy and hacky, and thrive in ambiguous problem spaces — taking satisfaction in finding creative solutions

• Don't trust LLMs blindly — they look at the reality of model generations

• Have hands-on experience implementing LLMs and understand their capabilities and limitations

Life at TypeSafe

We’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.

We strive for excellence and craftsmanship and won’t stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow—as a team and as individuals.

We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines.

We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.

We provide

• 100% covered health insurance

• Daily lunch and dinner

• Visa sponsorships

• 401K plans