Applied AI Engineer

Location: NYC (100% On-site in Soho)

Compensation: $150,000 - $225,000 (Base Salary) + Competitive Equity

We are building the world's largest network of doctors, patients, and first-party data, applying AI to every step of bringing new therapies to market. Our first product ensures patients get life-changing therapeutics as quickly and cheaply as possible by abstracting complex insurance, affordability, and supply chain logistics. Backed by top-tier investors, we are seeking an Applied AI Engineer to take end-to-end responsibility for projects that drive user growth, operational efficiency, and revenue generation.

This is a demanding, high-autonomy role focused on the production use of LLMs and ML to solve core business problems in the highly complex healthcare and life sciences space. You will operate as an owner, driving impact across the product surface area and influencing business decisions.

If you join, you will:

• AI Product Ownership: Spearhead AI augmentation and automation projects with end-to-end responsibility (definition, design, development, launch, success). Projects include unintuitive classifications, data extraction/summarization, precise content generation, reference-based Q&A, and multimodal model-powered bots.
• Zero-to-One Development: Drive product development from conceptualization through production, collaborating closely with go-to-market and operations teams.
• AI Strategy & Research: Stay on top of emerging AI methods, drive decisions on model selection (including fine-tuning), and establish experimentation and evaluation protocols for accuracy and consistency.
• System Automation: Decipher and automate complex, branching workflows (e.g., insurance coverage, affordability programs) using combined AI/ML approaches and RPA/scraping to operate third-party platforms.
• Engineering Scalability: Develop engineering process, tools, and systems (e.g., one-click eval systems) to support faster AI product development and model invocation efficiency, ensuring data and ML pipelines are robust to input variation.
• Client Engagement: Participate actively in client engagements to understand requirements and deliver innovative solutions.

• Experience: 0-15 years of experience as an AI Engineer, ML Engineer, or ML Research Engineer at a high-quality company or early-stage startup.
• Expertise: Proven ability to work on real production use cases of LLMs and other ML techniques to solve business problems.
• Technical Stack: Proficiency in our core stack: Python, React, TypeScript, PostgreSQL, and Kubernetes.
• Ownership Mindset: Low-ego, hungry to learn, and excited about intense, impactful work; expected to "act like an owner" with a high level of autonomy and responsibility.
• Product Focus: Ability to develop a deep understanding of the product surface area and what drives the business to ensure maximum impact.

• Impact: Work on life-changing therapeutics, getting more patients on therapy faster, and establishing partnerships to support drug development in a large, complex market.
• Compensation: Highly competitive salary ($150,000 - $225,000) and competitive equity.
• Career Growth: Accelerated career progression in an intense, impactful work environment.
• Work Policy: 100% On-site in our Soho, NYC office, 5 days/week.
• Visa Support: Visa sponsorship is 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 human-resources@mlabs.city.

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 legal@mlabs.city.