Founding Engineer (AI Engineering)
Role summary
Momentic is seeking a Founding Engineer (AI Engineering) to join their San Francisco-based team. This role focuses on building an AI-native automated testing platform, leveraging state-of-the-art agents to ensure quality throughout the SDLC. The ideal candidate will have experience with LLM performance tuning, prompt engineering, context management, LLM evaluations, and integrating LLMs into applications using Python and TypeScript. The company is a lean, well-funded startup with a strong emphasis on in-person collaboration and autonomy for its engineers. This is an individual contributor role focused on building and shipping code.
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, Bilt, Quora, and Xero 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 product
- We’re building the AI-native automated testing platform
- Our product is incredibly sticky. Our customers run us on every pull request and merge and before each deploy as quality gates
- Our product is leagues ahead of competitors and the status quo today (think Selenium/Cypress/Playwright)
- Check out the demo video on our website
About Us
- We’re a lean team of 13 (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 ambiguity
- You have strong engineering fundamentals, code efficiently, and you know what you're great at and what you're less great at
- You dislike meetings and would much rather focus your time on building, being productive, and shipping code
- You thrive when you have autonomy, own as many of the details as possible, and project manage your own work
- You'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 love
Must-have Qualifications
- Experience with LLM performance tuning, including prompt engineering and context management strategies
- Experience with LLM evaluations and observability
- Experience integrating LLMs into real-world applications using a modern tech stack (Python, TypeScript, etc.)
- 3+ years of experience
Nice to have
- Experience with supervised or reinforced fine-tuning
- Experience with classical machine learning techniques such as template matching, bounding box detection, and OCR
- Experience running statistical experiments
Our stack
React, TypeScript, Next.js, Node.js, PostgreSQL, Google Cloud, Kubernetes
Benefits
- Competitive Medical, Vision, Dental insurance
- 401K
- Unlimited PTO
- Offsites and events (French Laundry last quarter)
- Fully stocked kitchen (Unlimited supply of sparkling water!)
Sponsorship
We can sponsor TN Visas. We can't sponsor or transfer H1B visas or Green Cards (I-140).
Compensation Range: $150K - $220K