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Full Stack Product Engineer

Location: San Francisco, CA (Near Salesforce Tower) Employment Type: Full-time On-site: 5 days a week in-person

About the Role

Our client is an AI startup building foam, a cutting-edge tool designed to be the highest-signal solution for solving software bugs. They've raised $2.4M from notable investors and are focused on making engineering jobs more engaging by automating the debugging process.

They are seeking a Full Stack Product Engineer—a generalist who is comfortable wearing all the hats. In addition to classical full-stack work (from CSS to the database level), you will be expected to increase the general intelligence of the platform by designing and implementing cutting-edge AI product features.

What You'll Do

  • Serve as a generalist engineer, comfortable working across the entire stack.
  • Build cutting-edge AI product features, including writing advanced prompts, building custom Generative AI tools, and applying the latest AI techniques.
  • Work on core writing tools, system & user prompts, and general intelligence/denoising capabilities for the platform.
  • Stay up-to-date with the latest Gen AI techniques, tools, and research (blogs, videos) that can be immediately applied to the product.
  • Work closely with users (internal or external) to quickly iterate on features.
  • 5+ years as a full-stack engineer.
  • Demonstrated interest in the AI space and excitement about Generative AI.
  • Experience working closely with users (internal or external).
  • Startup experience is required.

Nice-to-Have

  • Experience building code generation tools, AI agents, and production-level RAG systems without using frameworks (e.g., LangChain).
  • Experience with the core tech stack: React, AWS, MongoDB, TypeScript, NextJS, Vercel.
  • Salary: $140K - $190K
  • Equity: 0.25% - 2%
  • Visa Sponsorship: No H1B sponsorship; TN is acceptable but not preferred; valid work permits are acceptable.
  • Benefits include: 100% coverage for Medical, Dental, and Vision; 401K; Unlimited PTO; Pet insurance; and a Travel stipend.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].

Average salary estimate

$165000 / YEARLY (est.)
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$140000K
$190000K

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DATE POSTED
October 8, 2025
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