• Ship high-quality data/ML/AI powered features end-to-end • Integrate data/ML/AI capabilities into real customer workflows • Raise the bar on design, reliability, performance, and engineering practices across the org • Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform. • Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions. • Drive the evolution of our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale. • Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those experiences. • Deliver backend features end-to-end including data schemas and business logic. • Collaborate with UX and product to ensure responsive and delightful product experiences. • Partner with data scientists and MLOps/platform teams to embed data, ML and AI capabilities into the product.

• Join as a Senior Software Engineer on the ‘Merchant Solutions’ team. • Responsible for functionality of Olo Pay product including transaction flow, reconciliation, reporting, payouts, pricing plans, and merchant account management. • Build new initiatives from scratch and add functionality to existing products. • Collaborate with team members during development from concept to delivery.

• Build and maintain backend services and APIs using Python and Django. • Develop rich, responsive interfaces using ReactJS and modern frontend tooling. • Work closely with product, design, and data teams to deliver end-to-end features. • Optimize both backend and frontend performance to ensure fast and reliable experiences. • Participate in technical discussions, code reviews, and architectural decisions across the stack. • Mentor team members and help level up engineering practices across frontend and backend. • Build reusable internal libraries, components, and utilities that improve developer productivity. • Collaborate with DevOps and QA to ensure smooth CI/CD and high product quality.

• Design and build **multi-agent benchmark tasks** based on real-world code changes (bug fixes, migrations, refactors) • Work with the **Harbor evaluation framework** to run and validate tasks in containerized environments • Write **clear, precise task instructions** (file paths, function signatures, expected behavior, constraints) • Develop **Python-based verification scripts** to validate correctness of code changes • Define **task decomposition strategies** across multiple specialized agents • Analyze and navigate **large open-source codebases** to extract realistic task scenarios • Run, debug, and refine tasks in **Docker environments** to ensure reproducibility • Improve task quality, clarity, and difficulty based on evaluation results