Job Opportunities API

📍 San Francisco | Work Directly with CEO & founding team | Report to CEO | OpenAI for Physics | 🏢 5 Days Onsite AI PRODUCT ENGINEER Location: Onsite in San Francisco Compensation: Competitive Salary + Equity   Who We Are UniversalAGI is building OpenAI for Physics. AI startup based in San Francisco and backed by Elad Gil (#1 Solo VC), Eric Schmidt (former Google CEO), Prith Banerjee (ANSYS CTO), Ion Stoica (Databricks Founder), Jared Kushner (former Senior Advisor to the President), David Patterson (Turing Award Winner), and Luis Videgaray (former Foreign and Finance Minister of Mexico). We're building foundation AI models for physics that enable end-to-end industrial automation from initial design through optimization, validation, and production. We're building a high-velocity team of relentless researchers and engineers that will define the next generation of AI for industrial engineering. If you're passionate about AI, physics, or the future of industrial innovation, we want to hear from you.   About the Role UniversalAGI is hiring an AI Product Engineer to own our customer facing product across the entire stack. In this role, you will build and own the end-to-end platform that engineers use to train and host physics models. This includes managing everything from data generation and storage to creating reusable templates and building a delightful user interface.   You’ll work closely with the CEO and founding team to turn research into repeatable, scalable, reliable systems - internally and in customer infrastructure. This is a “ship outcomes” role: your work directly determines how fast we can iterate, how reproducible our results are, and how reliably we deliver in production.   What You’ll Do - Ship End-to-End: Own and ship features across the full stack, including frontend, backend, databases, cloud services, APIs, and the UI - Enable Physics Workflows: Build seamless capabilities that take engineering customers from raw data input to a fully hosted, functioning surrogate model - Design Core Abstractions: Build clean, reusable templates so power users can move fast, while ensuring new users can get started in minutes - Iterate on Feedback: Collect user feedback, iterate rapidly, and maintain strict product reliability and backwards compatibility as we scale our customer base - Collaborate Globally: Partner hand-in-hand with the founding team and engineering leadership to define product scope and architecture Qualifications - End-to-End Production Ownership: Proven track record of shipping customer-facing products, with deep ownership over frontend, backend, and database layers - Strong SWE Fundamentals: Excellent intuition for clean componentization, organized code architectures, user experience, and visual design - Stack Fluency: Deep technical comfort with Python on the backend, alongside React, TypeScript, and Next.js on the frontend. Comfortable navigating databases and cloud APIs. PyTorch is not required - Product Instinct: Ability to hold the user journey clearly in your head while evaluating complex technical tradeoffs Bonus Qualifications - AI/ML Integration: Hands-on experience integrating AI components into customer products (e.g., LLMs, agents, or ML-backed product features) - Domain Context: Prior experience or background with 3D applications, CAD, physics simulations, or engineering tooling domains - Startup DNA: Prior early-stage startup experience (0 to 1 product development) Cultural Fit - Technical Respect: Ability to earn respect through hands-on technical contribution - Intensity: Thrives in our unusually intense culture - willing to grind when needed - Customer Obsession: Passionate about solving real customer problems, not just publishing papers - Deep Work: Values long, uninterrupted periods of focused work over meetings - High Availability: Ready to be deeply involved whenever critical issues arise - Communi