Director of Engineering

Director of Engineering

Location: New York, NY

Employment Type: Full-time

Work Arrangement: Hybrid (NYC only)

About the Role

Our client, a global venture builder that empowers founders to launch and scale transformative healthcare companies, is seeking an ambitious, product-minded Director of Engineering. The client is deeply dedicated to launching AI-native healthcare ventures.

In this senior technical leadership role, you will be responsible for originating, leading, and delivering on critical 0-to-1 agentic development projects across the company. You'll act as a technologist-investor, redefining how AI startups are built in healthcare by leveraging the client's dense repository of healthtech venture knowledge.

What You’ll Do

• Redefine how AI startups are built in healthcare by designing and shipping LLM-based technologies to unlock internal healthtech venture knowledge.
• Architect the first AI-native healthcare venture builder, leading projects in areas like healthcare domain agentic deep research and LLM-led knowledge graph construction.
• Create global patient impact by sourcing, assessing, inspiring, and building alongside exceptional founders to launch enduring, transformative health technology companies.
• Constantly raise the bar on the level of technical sophistication offered to their founders.
• Note: Interested and qualified candidates may have the opportunity to hire and manage additional engineers.

• 8+ years of experience, primarily as an Individual Contributor (IC) in full-stack engineering. Exceptions can be made for extremely talented high-flyers.
• 6+ years in a senior technical role at a major venture-backed startup. Bonus points for founding a startup (0-to-1 experience) or having an investment background.
• Expert in Python (including frameworks like asyncio, FastAPI, PyTorch) and at least one agentic framework (e.g., LangGraph, OpenAI Agents SDK, autogen).
• Proficient in the modern data stack (AWS, Docker, Kubernetes, Flask, Pydantic, Pytorch, etc.).
• Experience building stateful agentic workflows, MCPs, and LLM tool hooks (knowledge graphs/semantic search is a bonus).
• Code is in production at global organizations or used by thousands/millions of individuals.
• Technical degree (CS, Math, Physics) from a top university.
• Relentless, startup-native technologist with a high tolerance for ambiguity and high speed of execution.

• Salary: $180K - $220K (Based on quality and experience).
• Equity: To be discussed with the Hiring Manager (complex structure).
• Visa sponsorship is not available.
• Work Policy: Hybrid setup, with mandatory work in the New York City office.

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].