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Full Stack Software Engineer - job 1 of 2

Our client is a well-funded, early-stage startup solving one of the most critical challenges in the AI industry: ensuring AI applications are safe, reliable, and ready for production. They are building a platform that provides best-in-class tools for evaluation, testing, and continuous improvement of AI models.

Founded in 2024, the company is already working with leading AI labs like OpenAI and Anthropic, as well as other major enterprises. Their team is composed of top talent from companies like Datadog, Citadel, and McKinsey, and they are backed by founders and executives from tech powerhouses such as Google, Stripe, and Databricks.

Our client is seeking a talented Full-Stack Software Engineer to build their AI reliability platform. In this role, you will have a direct impact on how AI is tested, verified, and deployed across the industry. You'll own the end-to-end development of new features, from designing user-facing workflows to creating reusable frontend components and visualizations for complex concepts.

You will also have the unique opportunity to:

  • Collaborate directly with the research team on safe AI tooling.
  • Interface with customers to design intuitive workflows and guide them in evaluation methodologies.

We are looking for a pragmatic and outcomes-focused problem solver with a passion for building beautiful and intuitive user experiences.

Must-Haves:

  • 4+ years of professional software engineering experience, ideally with a focus on full-stack development - ideally at Senior/Tech Lead level.
  • Deep knowledge of TypeScript and React.
  • Proficiency in a backend language such as Python, Go, or Rust.
  • Experience with relational and NoSQL databases like Postgres, MongoDB, or Redis.
  • A generalist mindset and a willingness to wear many hats in an early-stage startup environment.

Bonus Points:

  • Experience in product design or as a product manager.
  • Experience building LLM-based applications (e.g., chatbots, agents).
  • Experience with Kubernetes.
  • A strong GitHub presence.
  • Salary: $150,000–$325,000
  • Equity: Competitive
  • Visa Sponsorship: Available for exceptional candidates

Location

Our client is a New York-based company with a strong in-office work culture.

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].

Average salary estimate

$237500 / YEARLY (est.)
min
max
$150000K
$325000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
November 14, 2025
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