MLabs
Overview
Get AI-powered advice on this job and more exclusive features. 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). 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.
Responsibilities
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
Requirements
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
Benefits
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)
Note:
Due to the high volume of applications we anticipate, we are unable to provide individual feedback to all candidates. If you do not hear back within 4 weeks, please assume you have not been successful on this occasion.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. If you need any reasonable adjustments during any part of the hiring process or would like to see the job-advert in an accessible format, please email human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd\'s policies and applicable data protection laws. Your data may be shared with clients and trusted partners where necessary for recruitment. You may request deletion of your data or withdraw consent at any time by contacting legal@mlabs.city.
#J-18808-Ljbffr
Get AI-powered advice on this job and more exclusive features. 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). 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.
Responsibilities
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
Requirements
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
Benefits
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)
Note:
Due to the high volume of applications we anticipate, we are unable to provide individual feedback to all candidates. If you do not hear back within 4 weeks, please assume you have not been successful on this occasion.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. If you need any reasonable adjustments during any part of the hiring process or would like to see the job-advert in an accessible format, please email human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd\'s policies and applicable data protection laws. Your data may be shared with clients and trusted partners where necessary for recruitment. You may request deletion of your data or withdraw consent at any time by contacting legal@mlabs.city.
#J-18808-Ljbffr