Founding Engineer (AI)

Momentic, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical insurance

401K

Unlimited PTO

Offsites & events

Kitchen

Job summary

Momentic, Inc. is building the AI-native quality platform and is hiring several software engineers across the stack in San Francisco. You will own meaningful parts of the product, work on hard problems with product and technical ambiguity, and ship code with autonomy in a lean team.

We value in-person collaboration in SF, with relocation welcomed for standout candidates. The stack includes React, TypeScript, Next.js, Node.js, PostgreSQL, Google Cloud, Kubernetes, and Python-based ML tooling.

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.).
• Familiarity and experience with supervised fine-tuning (SFT) and/or reinforcement learning fine tuning (RLFT) on platforms such as fireworks, Together AI, or Baseten.
• Familiarity with evaluation dataset engineering, prompt engineering, LLM as a judge verifiers, and RL environments.
• 3+ years of experience.

Skills

LLM performance tuning

prompt engineering

context management strategies

LLM evaluations and observability

LLMs integration

supervised fine-tuning (SFT)

reinforcement learning fine tuning (RL

evaluation dataset engineering

RL environments

3+ years experience

Tools

Python

TypeScript

Next.js

Node.js

PostgreSQL

Google Cloud

Kubernetes

Job description

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 product

• The AI-native automated testing platform
• Incredibly sticky. Our customers run us on every pull request and merge and before each deploy as quality gates
• Leagues ahead of the status quo today (think Selenium/Cypress/Playwright)
• Check out the demo video on our website.

About us

• We’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 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 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 Baseten
• Familiarity with evaluation dataset engineering, prompt engineering, LLM as a judge verifiers, and RL environments
• 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, E-3, or J-1 Visas. We can't sponsor/transfer H1B Visas or Green Cards (I-140) at this time.