Founding AI Engineer

Our client is a well-funded, early-stage AI company with a bold mission to reinvent wealth management. They are building a unified, AI-native platform to automate the entire wealth management stack, which is one of the largest and most fragmented sectors in financial services. With a $15.5M seed round from top-tier VCs like General Catalyst and Venrock, and a team of just three employees, this is a unique opportunity to join a de-risked company with extensive runway and existing partnerships. As a Founding AI Engineer, you'll be employee number three and will play a mission-critical role in scaling the company from the ground up. You will own major technical domains and work directly with the founder to establish the core technical foundations. The ability to close the end-to-end process quickly is a key part of the company culture. You will be responsible for: Building core platform components that unify fragmented wealth management tools. Designing and building end-to-end AI-powered workflows that automate financial advisor processes. Developing multi-agent AI workflows to deliver intelligent financial insights. Architecting scalable systems for real-time financial data orchestration. Making critical technical decisions with a high degree of autonomy. Requirements We are seeking a Senior or Staff-level full-stack engineer with a strong background in applied AI and a founder-like mindset. The ideal candidate is hungry, curious, and eager to be fully immersed in an AI-first environment. Must-Haves: 5–10 years of experience as a full-stack engineer at a Tier 1 venture-backed startup (Series B or earlier). Proven experience building real-world applied AI projects. Expertise in the company's tech stack: Python, Django, TypeScript, and Vercel. Familiarity with AI tools and APIs like ChatGPT and Claude Code. A track record of extended stints at previous companies (avoiding short job hops). Willingness to work in-person, 5 days a week, in NYC. Bonus Points: Prior experience as a founder or founding engineer. A CS or STEM degree from a top 25 university. Experience with cloud infrastructure like AWS ECS, RDS/Postgres, Redis, or Terraform. Benefits Salary: $180,000–$250,000 Equity: Highly competitive package Visa Sponsorship: Available 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.