• Develop new capabilities and re-architect parts of an existing system • Take part in test-driven, iterative development, prototyping, and reviews with a team of developers • Design and code middle and back-end in a clean and efficient way • Implement scalable and robust services • Develop external and internal APIs • Develop and run unit and performance tests to ensure scalability and reliability • Review and debug code • Develops documentation, flowcharts, layouts, diagrams, charts, code comments, and clean code to explain and show solutions • Determines and designs system specifications, standards, and programming to prepare and install solutions

• Develop and maintain CAD modeling algorithms (editing brep data structures, developing topological algorithms, etc) • Develop and maintain rendering code within the graphics core of the CAD engine • Implement and continuously improve various low-level and complex architectural systems that interface with Graphics APIs, modeling, rendering, and proceduralization pipelines • Analyze code for performance and optimization opportunities as it relates to load times, memory usage and platform-specific performance issues • Become an expert on our product strategy and customer use cases in order to provide the best solutions to our growing customer base • Document functionality and implementation details for production and other Engineers

Role Description We are looking for a Senior Software Engineer who can take end-to-end ownership of complex full-stack systems powering our GenAI platform. This role is focused on experienced, hands-on engineers who thrive in ambiguity and can translate product intent into reliable production systems. You will build and ship production-grade AI capabilities—spanning evaluation pipelines, tracing systems, platform APIs, and developer-facing UI. You will work closely with product and engineering leadership to deliver real AI infrastructure used by customers in production—not demos or experimental tooling. Qualifications - 5–10+ years of professional engineering experience - Strong hands-on experience building production systems - Experience building or integrating LLM-powered systems (RAG, embeddings, workflows, agents) - Strong TypeScript, React, and Node.js capability - Practical understanding of AI production concerns (evaluation, safety, latency, cost trade-offs) - Ability to ship full-stack features without prolonged ramp-up - Strong debugging and performance optimization skills Requirements - Experience with evaluation frameworks or safety tooling (Strong Plus) - Familiarity with OpenTelemetry and distributed tracing (Strong Plus) - Exposure to vector databases and AI data pipelines (Strong Plus) - Experience with Python-based AI services (Strong Plus) Benefits - Work at the intersection of GenAI, infrastructure, and observability - Ship real AI systems used by production engineering teams - Join at a stage where your impact materially shapes the product - Operate in a fast-moving, high-ownership environment - Fully remote - ESOP equity - Flexible hours - Generous PTO - Global offsites - Education support - Clear advancement opportunity

• Develop high-quality software solutions based on technical requirements and design specifications. • Collaborate with cross-functional teams to understand project goals and requirements. • Participate in code reviews to maintain code quality and consistency. • Troubleshoot and debug software defects. • Stay updated on programming languages, frameworks, and industry best practices.