Description

We are seeking a Backend Engineer to help us solve a critical challenge in modern AI evaluation: computing precise distances between arbitrary data structures to power reliable and scalable consensus metrics.

You will play a central role in building a robust backend infrastructure and developing advanced string-matching algorithms to strengthen our consensus engine. This work is essential to how we quantify uncertainty in LLM inference, supporting both internal evaluations and production-grade reliability. As we scale, you will be responsible for building the high-performance infrastructure that will support our growing user base and ensure more trustworthy, measurable outcomes for AI systems.

If you enjoy pushing the limits of data structure design, AI agents, and high-performance computation, we would love to hear more from you.

What You'll Do

• Algorithm Development: Design and implement highly optimized string-matching algorithms to power our core consensus engine.
• Infrastructure Engineering: Build and scale the backend infrastructure to support our growing user base and handle high-volume data computation.
• Problem-Solving: Tackle complex challenges related to computing distances between arbitrary data structures.
• Collaboration: Work closely with a team of engineers to build a reliable and scalable platform that drives more trustworthy AI systems.

What We're Looking For

• Experience: Proven experience as a Backend Engineer.
• Technical Skills: Strong proficiency in backend development, data structure design, and algorithm optimization.
• Drive: A passion for solving hard problems and a desire to build high-performance, scalable systems.
• Bonus: Experience with AI agents or LLM-related projects is a plus.

Skills and competencies show up in different forms and can be based on different experiences, so we strongly encourage you to apply even if you don't have all the requirements listed above.