Full Stack Engineer at MLabs

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

230000.0

Posted On

21 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full Stack Development, Python, React, Next.js, AI Agents, LLMs, Data Pipeline, User Interface Design, Backend Development, Customer Collaboration, National Security, Rapid Iteration, Problem Solving, Software Engineering

Industry

IT Services and IT Consulting

Description

Full Stack Engineer (AI Defense/Government Contracts) Location: San Francisco, CA Employment Type: Full-time Work Arrangement: On-site 5 days a week About the Role Our client is an AI platform redefining how companies interact with the government by matching them to defense contract opportunities they are most likely to win. The company is backed by top defense investors, is profitable, has hit $1M ARR in under 8 months, and is growing at 60% MoM. This mission-driven role focuses on solving critical national security problems. They are seeking a Full Stack Engineer to be a Founding Engineer for building the core data pipeline and user-facing application. You will own the process of transforming a "firehose" of daily government data into useful, browsable, and interpretable insights for defense companies. What You'll Do Founding Data Pipeline: Design and build the core data ingestion and processing pipeline to make daily government contract and procurement data useful. AI Agent Development: Build and utilize AI Agents and LLMs effectively to match opportunities and structure data. Full-Stack Ownership: Work across the stack to build intuitive UIs and robust backend systems, with an ideal lean of 70/30 backend/frontend. Customer Collaboration: Directly engage with customers to understand their needs, present solutions, and iterate on the best way to browse and interpret contract data. Mission Focus: Apply your technical skills to solve mission-critical national security problems. Rapid Iteration: Be willing to learn and iterate quickly within a fast-paced "hacker culture." 0-7 years of experience as a Full-Stack Software Engineer (2 years minimum SWE experience required). Expertise in Python and building intuitive UIs with React & Next.js. Experience building AI Agents and utilizing LLMs. Passion for solving mission-critical national security problems. Salary: $130K - $230K Equity: 0.5% - 1.5% (High early-stage equity). Visa Sponsorship: Not available. Benefits include: Free meals, free gym membership, free travel to customers, and a hacker culture with no red tape. 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.

Responsibilities

Design and build the core data ingestion and processing pipeline for government contract data. Engage with customers to understand their needs and iterate on solutions for browsing and interpreting contract data.