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Forward deployed Engineer

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Hybrid

Forward deployed Engineer

Re:Sourced.

Forward deployed Engineer

Skills

Data EngineeringReactTypescriptPythonAIAWS

2 months ago

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Important information


Contract type:

Permanent

Salary:

$200,000 – $300,000 / year

Location:

New York, NY, USA

Work mode:

Hybrid

Published on:

23 August 2026

What they need


Senior Forward Deployed Engineer (0-1 Builder)

Family Office & VC Firm | US Healthcare | NYC | Hybrid Environment

Follow @Re:Sourced for the latest FDE, AI, Software, Data Engineering opportunities

🎉 Benefits & Why This Opportunity Is Unique:

🟢 A multi-billion dollar firm that owns, operates and invests in healthcare. 200+ (and growing) operating businesses, with a central engineering team building AI directly into them instead of outsourcing it.

🟢 You own the work end to end: architect the system, build it, ship to production, then roll it across the portfolio. Measured by whether operators actually use it.

🟢 You'll build across a broad range of Healthcare Ops: primary care, nursing facilities, hospitals, pharma, dental, vision, mental health, psychology and more.

🟢 Engineering led by the former CTO of one of the world's most successful AI HealthTech companies, alongside fellow FDEs from Meta, Netflix, Atlassian, McKinsey and BCG X.

🟢 Solutions that scale can be spun out as standalone HealthTech ventures, with a direct route to VC including the firm's own venture fund.

🟢 A small growing team of 10, so you sit close to the decisions with real technical scope and direct access to leadership.

🟢 Above-market salary + performance bonus + fund performance bonus + Group ESOP + partnership equity in the HealthTech spin-outs.

🟢 State of the art & purpose-built NYC office with numerous events, socials, remote Fridays, and flexible working hours.

🦄 The Company:

A New York firm that owns, operates and invests in healthcare, with billions under management, 200+ operating businesses, and a philosophy of adding value through technology. The portfolio spans skilled nursing facilities, primary care & private medical centres to dental, vision, specialist psychological facilities, and one of the largest long term care pharmacies in the US.

🏆 The Opportunity:

A rare seat for an engineer who wants to see their work actually used. You won't be handed tickets or kept at arm's length from the business. You'll sit inside a live operation, work out what's slowing it down, and build the system that fixes it.

The team works "show me, don't tell me." You prototype fast to find what works, then take the winning approach to production. Because the firm owns the businesses, there's no client to sell to and no procurement cycle to wait on. If it works, it ships. Then it spreads across the portfolio. And when something you've built outgrows the portfolio, it can be seed funded and spun out as its own company, with you close to the upside.

For the right person, the path from idea to production is short, and the ownership is yours.

🎉 What You'll Do:

→ Own the architecture: design the system, make the build-versus-reuse calls, and set the patterns the rest of the portfolio inherits.

→ Build and ship production AI systems: agents, LLM workflows, data pipelines, and the monitoring around them.

→ Prototype fast to de-risk a problem, then take the approach that works to production.

→ Lead the rollout across the portfolio.

→ Embed with operators to find what's worth building.

📈 Tech Stack: Python, TypeScript, React, AWS, LLM orchestration, and data pipelines. Claude and Cursor are the primary daily tools.

💎 What You Bring:

6+ years shipping production software, with deep architecture skill and startup experience building something from zero. You design the system and prototype to find the answer instead of waiting for a spec. Hands-on experience running LLMs in production, including evaluation, guardrails, and observability. Fluent across Python, TypeScript, React and AWS, with AI built into how you work every day (Claude Code, Cursor).

You're comfortable owning a problem with no spec handed to you, deciding the approach, and being measured on whether people actually use what you ship. You can also sit with an operator who isn't technical, understand their world, and work out what's worth building.

⚡ The Process: 3 rounds. A call with the CTO to confirm fit, Live AI led coding & technical discussion, then an 1 hour onsite with the team. c.3 hours time commitment.

➡️ To Apply:

DM, Email - [email protected], Call +61 401 662 350

Referrals welcome, bonuses are generous 💰

Confidential brief available on request.

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