Relari is defining the new category of data-driven development infrastructure for GenAI applications. We work with top AI teams from leading startups to large enterprises, and we are growing at a blazing-fast rate. Our founding team are experts on AI system production and we are well-funded by top-tier VCs.

As a founding product engineer at Relari, you will solve the most critical challenges facing our society’s adoption of foundation models.

In this role, you will:

• Spearhead the development of core features for a state-of-the-art Generative AI Testing and Simulation stack.
• Take ownership of customer engagement throughout deployment, customer success, and feature iteration.
• Collaborate directly with key stakeholders in the AI ecosystem to iterate and define new product directions.
• Play a dynamic role that includes both product management and software engineering.

You’re a good fit if

• You are a software engineer who’ve built impactful products that have scaled to a large customer base.
• You have experience architecting, developing, and testing full-stack software products end-to-end.
• You thrive in a fast-moving environment and view unstructured environments as opportunities to identify the most impactful work and define the future success of the company.
• You are ownership-minded. You don’t wait for company processes to get work done; instead, you proactively contribute wherever you can to drive success.

Bonus points if you have:

• Experience building developer-facing B2B products.
• Shipped an AI product or feature.
• Contributed to popular open source projects.

Our testing and simulation stack leverages a suite of foundation models and traditional machine learning techniques to generate large-scale, high-fidelity synthetic data for rigorous evaluation and systematic fine-tuning. There's a heavy research angle to our tech stack as we are on the cutting edge of defining the best practices in building reliable AI applications. We collaborate with top institutions like MIT to publish research papers and open source part of our stack (continuous-eval).