Founding Engineer, Full Stack bei MLabs Ltd

Founding Engineer, Full Stack (Product-Minded)

Full-time | On-site

Location: San Francisco

We are building a unified platform that streamlines the use of large language models (LLMs) to build and deploy applications at scale. We are seeking a Founding Full Stack Engineer to own the entire application layer, driving developer productivity by providing a single pane of glass for data collection, model evaluation, training, and deployment.

As a Founding Engineer, you will be a product-minded generalist responsible for the entire feature lifecycle. You'll primarily focus on the backend systems that interface with our core machine learning (ML) stack, ensuring a scalable and reliable platform for our customers.

What You'll Do:

• Own Features End-to-End: Take high-impact projects from concept through design, implementation, launch, and iteration, working across the full stack.
• Build Application Layer: Design and implement user-facing dashboards and critical developer tooling for monitoring, evaluating, and managing ML models.
• Design Backend Systems: Design and implement robust APIs and backend systems that interface directly with our ML routing and training stack.
• Lead Architecture: Drive foundational architecture decisions regarding system design, scalability, reliability, and deployment.
• Influence Product: Lead and influence product decisions by working directly with early customers to understand pain points and shape the strategic roadmap.

Requirements

This role is for an engineer who thrives on ownership and has a strong foundation in modern web technologies, with a bias toward complex backend and infrastructure challenges.

• 1+ years of professional experience building full stack applications.
• Proficiency with modern frameworks, including React, Next.js, TypeScript, and Node.js.
• Comfort working across the entire stack, with a bias toward backend systems and owning large, impactful projects.
• Bonus points if you have experience deploying and scaling applications in the cloud, utilizing tools like AWS, Terraform, Docker, and Kubernetes.
• Bonus points for a background in dev tools or data infrastructure.

Work Policy:

• This is a full-time, on-site position in San Francisco.
• Visa sponsorship is available for TN visas and H-1B transfers. Other visa types will be considered on a case-by-case basis.

Benefits

Join an early-stage, well-funded team at the forefront of AI deployment, offering immense personal impact and competitive compensation.

• Highly Competitive Salary: Base salary ranging from $175,000 - $375,000, based on experience.
• Significant Equity: Meaningful equity stake, with flexibility on the cash/equity split to suit the right candidate.
• High Impact: Opportunity to be a Founding Engineer, directly shaping the technical and product direction of the company.

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].