Forward Deployed Engineer

Forward Deployed Engineer (AI / Healthcare)

Location: New York, NY (Hybrid)

Compensation: $150,000 – $190,000 base + variable + equity

Type: Full-time

About the Role

We’re hiring a Forward Deployed Engineer to sit at the intersection of AI, product, and real-world healthcare delivery.

This is a high-impact, customer-facing engineering role where you’ll deploy AI-powered solutions into complex healthcare environments, build custom integrations, and directly influence product direction. You won’t just ship code—you’ll own outcomes.

If you’re someone who thrives in fast-moving environments, enjoys working directly with customers, and is deeply hands-on with modern AI tools, this is the kind of role where you can accelerate quickly.

What You’ll Do

• Partner directly with enterprise healthcare clients to deploy AI-driven solutions and ensure successful adoption
• Build and ship custom code (approx. 70% hands-on engineering) to support unique customer implementations
• Design and implement integrations, workflows, and AI agents (including voice or automation tools)
• Act as the technical bridge between customers and internal product/engineering teams
• Translate real-world usage into product feedback and help shape the roadmap
• Support project coordination, timelines, and stakeholder communication
• Travel occasionally (1–2 weeks per quarter) for on-site implementations

What We’re Looking For

• 1–5 years of experience in a hands-on engineering or technical implementation role
• Strong experience working with modern AI tools (LLMs, agents, automation platforms, etc.)
• Proven ability to build and deploy real-world AI-powered solutions (bonus for voice agents or similar systems)
• Experience in customer-facing technical roles (solutions engineering, forward deployed, implementation, etc.)
• Healthcare implementation experience strongly preferred (or other regulated industries like fintech/legaltech)
• Strong communication skills—you can translate technical concepts to non-technical stakeholders
• High ownership mindset; comfortable operating in ambiguous, fast-paced environments

Nice to Have

• Startup or early-stage experience (founder or founding engineer mindset is a plus)
• Experience working across distributed or global teams
• Background deploying software into complex operational environments

What Makes This Role Different

• Direct exposure to real-world AI deployment—not just internal tooling
• High autonomy and ownership from day one
• Tight feedback loop between customer usage and product development
• Opportunity to shape how AI is applied in healthcare at scale

Additional Details

• Hybrid role based in New York City (in-office presence expected most days)

Interview Process

• Intro conversation with leadership
• Technical exercise
• Panel interview
• Final interview (in-person for NYC-based candidates)