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Forward Deployed Engineer

Our client is a well-funded AI company backed by a16z and Y Combinator that is poised to disrupt the logistics industry. They build and deploy AI workers that automate communication—including phone calls, emails, and messages—for enterprise clients like DHL, CH Robinson, and Flexport. The company is experiencing rapid growth, gearing up for its Series B, and is on track for double-digit ARR by June.

Our client is hiring a Forward Deployed Engineer to blend customer-facing responsibilities with hands-on technical development. You'll work closely with enterprise customers from onboarding through ongoing use, ensuring they get maximum value from the AI platform. This role requires a hands-on operator who is ready for a fast-paced, high-intensity environment.

You will be responsible for:

  • Building and deploying AI applications, with a focus on voice-to-text tuning and LLM prompting.
  • Developing and rapidly iterating on MVP features.
  • Integrating the platform with complex enterprise systems and APIs.
  • Ensuring customer success by working directly with stakeholders.

We are seeking a product-minded engineer with a strong technical foundation and excellent communication skills. The ideal candidate is a hands-on operator who is comfortable navigating complex enterprise organizations.

Must-Haves:

  • 2–6 years of software engineering experience.
  • Strong fundamentals across the tech stack, with a particular emphasis on Python.
  • Experience navigating complex enterprise organizations and working with stakeholders.
  • A Computer Science degree (a top 25 university is preferred).
  • Willingness to work in-person, 4–5 days a week, in San Francisco.

Bonus Points:

  • Early-stage startup experience (founder/founding engineer).
  • Experience in the logistics-tech industry.
  • Experience with AI/ML applications or voice-to-text.
  • Salary: $120,000–$180,000
  • Equity: Competitive
  • Visa Sponsorship: Not 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 [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

$150000 / YEARLY (est.)
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$120000K
$180000K

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EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
August 28, 2025
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