Founding Engineer (AI)

At Momentic, we’re building the future of quality.We’re building the all-in-one quality platform powered by state of the art agents to help our customers ensure quality at every stage of the SDLC. Top engineering teams at companies like Notion, Retool and Webflow use Momentic to ship high quality product. Millions of Momentic tests are executed every single day.Our product has a very large problem space so there’s a ton of stuff to build and take ownership of - we’d be excited to get your help as we're hiring several extremely talented software engineers across the stack.The productThe AI-native automated testing platformIncredibly sticky. Our customers run us on every pull request and merge and before each deploy as quality gatesLeagues ahead of the status quo today (think Selenium/Cypress/Playwright)Check out the demo video on our website.About usWe’re a lean team of 17 (ex Robinhood, Retool, WeWork, Qualtrics, Assembled)Located in-person San Francisco (650 5th St.)Recent Series A raise of $15M led by Standard Capital, with participation from existing investors - Y Combinator, FCVC, and Transpose Platform.You’re perfect for this role if…You enjoy solving hard problems that have both product and technical ambiguityYou have strong engineering fundamentals, code efficiently, and you know what you're great at and what you're less great atYou dislike meetings and would much rather focus your time on building, being productive, and shipping codeYou thrive when you have autonomy, own as many of the details as possible, and project manage your own workYou're in SF or you're willing to relocate, you love working in-person, and you're serious about joining us to build a culture we'll all loveMust-have qualificationsExperience with LLM performance tuning, including prompt engineering and context management strategiesExperience with LLM evaluations and observabilityExperience integrating LLMs into real-world applications using a modern tech stack (Python, TypeScript, etc.)Familiarity and experience with supervised fine-tuning (SFT) and/or reinforcement learning fine tuning (RLFT) on platforms such as fireworks, Together AI, or BasetenFamiliarity with evaluation dataset engineering, prompt engineering, LLM as a judge verifiers, and RL environments3+ years of experienceNice to haveExperience with supervised or reinforced fine-tuningExperience with classical machine learning techniques such as template matching, bounding box detection, and OCRExperience running statistical experimentsOur stackReact, TypeScript, Next.js, Node.js, PostgreSQL, Google Cloud, KubernetesBenefitsCompetitive Medical, Vision, Dental insurance401KUnlimited PTOOffsites and events (Lake Tahoe this year!)Fully stocked kitchenSponsorshipWe can't sponsor/transfer H1B Visas or Green Cards (I-140) at this time.