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Forward Deployed Engineer

$220k
Full-time

UMATR

Forward Deployed Engineer

New York City | Hybrid | Up to $220,000 + Equity

The Opportunity

We're working with a fast-growing AI startup building AI agents that automate healthcare recruiting, from sourcing and screening through to interviewing, credential verification and onboarding.

The company works with some of the largest healthcare organisations in the US, and its AI interviewers are already conducting tens of thousands of interviews every month. As customers continue to expand their use of the platform, the team is growing.

They're looking for a Forward Deployed Engineer who wants to do more than build features in isolation.

This is an opportunity to build AI systems from scratch, own customer implementations end-to-end and have a direct influence on what gets built next. You'll work closely with customers, understand their problems first-hand and turn those requirements into AI solutions that are actually being used in production.

FDEs play a big role in shaping the product, so you'll have a genuine say in the roadmap rather than simply handing feedback over to another team.

What You'll Be Doing

  • Lead technical discovery, understand customer requirements and take ownership of getting AI interviewers into production.
  • Design and develop interview flows, agent logic, prompts and conversational behaviour around real customer requirements.
  • Run technical conversations, understand how their hiring processes work and help translate those into effective AI interviewers.
  • Develop scoring frameworks, evaluation pipelines and testing approaches to make AI interviews more accurate and consistent.
  • Analyse real conversations, identify where agents are falling short and make improvements based on customer feedback and production data.
  • Work closely with product and engineering to influence the roadmap, prioritise improvements and build features that solve problems across customers.

What They're Looking For

  • 2+ years of software engineering experience, ideally 4–6 years.
  • Experience building with LLMs, AI agents or NLP systems, ideally in production.
  • Strong software engineering fundamentals and experience building full-stack applications.
  • Hands-on experience developing AI workflows, agent logic or LLM-powered applications.
  • An understanding of prompt engineering, agent behaviour and how to make AI systems reliable.
  • Experience building evaluations, testing frameworks or quality systems for AI.
  • Someone comfortable working directly with customers, leading technical conversations and owning implementations.
  • An engineer who enjoys figuring things out, building things from scratch and working through problems without a predefined playbook.

Nice to have:

  • Previous FDE experience at a B2B AI startup.
  • Experience with voice or conversational AI.
  • Strong Python experience.
  • Experience building multi-step agents, structured workflows or evaluation systems.
  • Previous startup experience where you've had significant ownership over what you build.

Why Join?

  • Take projects from initial customer conversations through to production and ongoing improvement.
  • Get hands-on with the engineering behind AI agents, their behaviour, evaluation and performance.
  • Work directly with enterprise customers and see how your work solves real problems.
  • FDEs are closely involved in product decisions and directly contribute to the roadmap.
  • Join at a stage where your contribution can have a genuine impact on the business.
  • Work on AI systems already conducting tens of thousands of interviews every month.

Location & Compensation

  • NYC-based
  • Hybrid working, Monday–Thursday in office
  • Up to $240,000 salary + meaningful equity

Vacancy posted 1 hour ago
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