Design Engineer

About the Role

We're looking for a Design Engineer to help build the legal tech platform powering the next generation of AI-native law firms. You care as much about how software feels as how it works. You'll own the development of secure client portals and enterprise-grade systems - from architecture to production.

This opportunity is ideal for engineers who want broad scope, high ownership and move nimbly across lanes. You'll work across AI systems architecture and full-stack engineering - eval systems, retrieval, agent orchestration, and optimization, alongside the APIs, data models, and systems that power the core platform.

This is an in-person role - you'll be on-site at our NYC office 5 days a week.

What You’ll Do

Design System Engineering

• Evolve the design system into scalable components and tokens that make every project fast to ship and beautiful by default, whether a person or an agent is building it.
• Spot patterns that keep recurring across the platform, and promote them into tested, documented primitives that designers and engineers can compose without reinventing.
• Build the guardrails that keep the product on-system as it scales, including token linting, visual regression testing, and component documentation that AI coding tools can read and follow.

Product Engineering

• Own features end to end, from the UI through the APIs and database tables behind it.
• Build UI that holds up to production usage: failure modes, caching, accessibility.
• Partner with design on what AI-native interfaces should be in a high-stakes domain: progressive disclosure, streaming states, and the patterns nobody's figured out yet

Must-haves

• 7+ years building production software, with demonstrated depth in at least one area (frontend, distributed systems, ML/AI systems)
• Proven track record delivering features that produce measurable business outcomes
• Built or meaningfully shaped a production design system, including component APIs, tokens, theming, and documentation, that other engineers adopted and shipped with
• Comfort with relational database design and data modeling
• Fluent with AI coding tools as a core part of your daily workflow
• A track record of self-teaching your way into unfamiliar systems and shipping there
• First-principles and systems thinking: you can reason about a system you didn't build, from the database up through the API to the product surface
• Familiarity with our stack - TypeScript, React, GCP, PostgreSQL

Nice-to-haves

• Deeply engaged with the AI tooling ecosystem - you follow new model releases, experiment with new tools as they land, and stay current out of genuine curiosity
• Experience making a design system legible to AI coding tools, through machine-readable documentation, token linting, or visual regression testing that keeps generated UI on-system
• Experience with eval systems, retrieval, agent orchestration OR ML in production
• Background building client portals, CRMs, or case management systems
• Familiarity with legal tech or other regulated industries

This is for you if....

• You treat AI tools as core to how you architect and ship software.
• You have real depth in at least one area, plus the self-teaching ability to pick up unfamiliar systems and contribute there competently.
• You move with speed, thrive with ownership, and prefer outcomes over process.
• You want to build infrastructure that makes legal services more accessible to people.

• This is not for you if....
• You do your best work with clear processes and defined guardrails already in place. You're earlier in your journey with AI-augmented development and want more time to build that muscle first.