Fullstack Engineer (Python, React)
MLabs
Full-time
On-site
San Francisco, California, United States
Fullstack Engineer (Python, React)
Location: San Francisco, CA
Employment Type: Full-time
On-site: 9-9-6 in-office schedule
About the Role
Our client is an intensely ambitious, hyper-growth AI startup that is completely rebuilding the foundation of the world’s largest industry: Insurance Claims Processing. They achieved six-figure ARR in just three months and raised a highly oversubscribed $3.8 million seed round from top-tier investors. Their team comes from elite global AI labs (Oxford, Cambridge, ETH Zurich).
They are seeking a Fullstack Engineer with a strong backend focus and clear signals of technical excellence. This role is defined by total ownership—you will be expected to ship features end-to-end and solve every problem, from core infrastructure design to direct client integrations for AI use cases.
What You'll Do
Ship from Day 1: Deploy to production on your very first day and take full responsibility for your code quality and delivery.
Full Ownership: Create specs, design solutions, and build features end-to-end without constant guidance.
Solve Every Problem: Tackle diverse challenges including deploying AI use cases with customers, designing core infrastructure, scaling the codebase, and even contributing to hiring.
Drive Customer Impact: Work hands-on with clients to integrate solutions, iterate quickly based on feedback, and deliver measurable business results.
1+ years of experience as a software engineer at a top-tier company or quant firm.
Strong backend focus with demonstrable technical excellence.
Must be aligned with their values of Ambition, Performance (speed/efficiency), and Ownership.
Salary: $150K - $200K (Flexible and can go higher for more tenured candidates).
Equity: 0.1% - 0.3%
Visa Sponsorship: Available.
Work Policy: Fully on-site in their San Francisco office, operating under a 9-9-6 schedule (Longer hours, six days a week).
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 human-resources@mlabs.city.
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 legal@mlabs.city.
Location: San Francisco, CA
Employment Type: Full-time
On-site: 9-9-6 in-office schedule
About the Role
Our client is an intensely ambitious, hyper-growth AI startup that is completely rebuilding the foundation of the world’s largest industry: Insurance Claims Processing. They achieved six-figure ARR in just three months and raised a highly oversubscribed $3.8 million seed round from top-tier investors. Their team comes from elite global AI labs (Oxford, Cambridge, ETH Zurich).
They are seeking a Fullstack Engineer with a strong backend focus and clear signals of technical excellence. This role is defined by total ownership—you will be expected to ship features end-to-end and solve every problem, from core infrastructure design to direct client integrations for AI use cases.
What You'll Do
Ship from Day 1: Deploy to production on your very first day and take full responsibility for your code quality and delivery.
Full Ownership: Create specs, design solutions, and build features end-to-end without constant guidance.
Solve Every Problem: Tackle diverse challenges including deploying AI use cases with customers, designing core infrastructure, scaling the codebase, and even contributing to hiring.
Drive Customer Impact: Work hands-on with clients to integrate solutions, iterate quickly based on feedback, and deliver measurable business results.
1+ years of experience as a software engineer at a top-tier company or quant firm.
Strong backend focus with demonstrable technical excellence.
Must be aligned with their values of Ambition, Performance (speed/efficiency), and Ownership.
Salary: $150K - $200K (Flexible and can go higher for more tenured candidates).
Equity: 0.1% - 0.3%
Visa Sponsorship: Available.
Work Policy: Fully on-site in their San Francisco office, operating under a 9-9-6 schedule (Longer hours, six days a week).
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 human-resources@mlabs.city.
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 legal@mlabs.city.