Lead Frontend Engineer – AI Agentic Systems

About Us

While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought, not just patterns in data.

Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable.

Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application.

Founded in 2022, we’ve raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning.

Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality.

About The Role

As a Lead Frontend Engineer you will be working on a highly technical interface for deploying AI systems. You’ll take ownership of building and iterating on functional prototypes for potential customer use cases, ensuring seamless end-to-end integration across the stack. Additionally, you’ll work closely with our research team to create interactive interfaces that bring agentic systems to life.

📍 This is an onsite role based in our SF office (345 California St).

Your Focus

• Design and implement intuitive, responsive and visually polished UI for complex systems, with a strong emphasis on usability and accessibility.
• Own and develop a vision for how developers discover, onboard, build and scale applications with Symbolica's new flagship product.
• Partner with product and design to translate abstract concepts into clear, elegant user flows and interactive experiences.
• Build, test and iterate on functional prototypes based on real user needs.
• Collaborate with researchers, engineers and product leads to turn ideas into polished features.
• Create and maintain a consistent design system and reusable frontend components that balance aesthetics with performance.
• Debug performance issues and run A/B tests to continuously improve UX.
• Attend developer events and workshops to introduce, prototype and teach technical audiences how to build and deploy complex multi-agent systems. Translate this external feedback to build user empathy and advocate for developer experience internally.

About You

• Excellent at translating complex ideas into simple, beautiful and highly usable UI/UX.
• Proficient in TypeScript and React.
• Equally passionate about design and engineering – you care as much about visual polish, accessibility and interaction design as you do about clean, scalable code.
• Comfortable prototyping quickly and shipping production-ready code.
• Experience collaborating with designers or directly owning design systems, style guides, or user interface patterns.
• Experience working on machine learning and/or AI projects is a plus.
• Experience building scalable, data intensive web apps, including RESTful APIs and GraphQL.
• Passion for writing clean, maintainable and well-documented code.
• Effective communication skills and a collaborative mindset to work across diverse teams.

What We Offer

• Competitive salary and early-stage equity package.
• A high-trust, execution-first culture with minimal bureaucracy.
• Direct ownership of meaningful projects with real business impact.
• A rare opportunity to sit at the interface between deep research and real-world productisation.

Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.