Recruiting from Scratch
Who is Recruiting from Scratch:
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. https://www.recruitingfromscratch.com/
Title:
Applied AI Engineer Location:
New York City (SoHo) Company Stage of Funding:
Series A (Backed by Thrive Capital, General Catalyst, Bain Capital Ventures, Pear VC) Office Type:
Onsite 5 days a week Salary:
$150,000 $225,000 + Competitive Equity Company Description
Our client is a fast-growing, AI-first healthtech startup that is transforming how new medical therapies reach the market. By abstracting the complexity of insurance, pharmacy supply chains, and affordability programs, this company enables doctors and patients to get life-changing treatments faster and more efficiently. Backed by top-tier VCs and led by repeat founders, the company is scaling rapidly and already supporting thousands of patients per day. This is a rare opportunity to work on highly practical, production-grade applications of AI/LLMs while helping solve one of the most pressing challenges in healthcare access. What You Will Do
As an
Applied AI Engineer , youll lead end-to-end projects deploying LLMs and machine learning models into production. Youll be working cross-functionally with product, engineering, and operations teams to solve real business problems. Your work will directly contribute to key outcomes like user growth, revenue, and operational efficiency. Responsibilities include: Designing, building, and deploying AI/ML models with real-world business impact
Taking full ownership of projects from ideation to production and iteration
Collaborating across the tech stack backend to frontend to integrate ML into product features
Working closely with leadership and cross-functional partners to identify high-leverage opportunities
Constantly iterating and optimizing for speed, performance, and impact in a high-growth environment
Ideal Candidate Background
015 years of professional experience as an AI/ML Engineer, Applied Scientist, or similar role
Proven experience deploying machine learning solutions into production environments
Strong product sense with an ability to think through real-world tradeoffs
Background working at high-quality startups or top-tier companies (e.g., Stripe, Square, Scale AI)
Track record of owning projects end-to-end, including infrastructure, modeling, and post-launch iteration
Bachelors or advanced degree in Computer Science or related technical field (top-tier schools preferred)
Former founders are highly valued
Preferred
Familiarity with modern AI tooling and frameworks: LLM APIs, PyTorch, TensorFlow
Full-stack development skills: Python, React, TypeScript, PostgreSQL
Experience with cloud-native infrastructure, especially Kubernetes
Exceptional communication skills and a low-ego, collaborative mindset
Recognition in top student programs (e.g., Pear Fellow, Neo Scholar) is a plus
Compensation and Benefits
Base Salary: $150,000 $225,000
Equity: Competitive, meaningful ownership
Location: Onsite in SoHo, NYC (in-person, 5 days/week)
Visa sponsorship is available
Work with a small, elite team of builders, operators, and technologists
Help solve a high-impact problem at the intersection of AI and healthcare
If you're excited about shipping high-impact AI products and shaping the future of healthcare accessibility, this role is for you. #J-18808-Ljbffr
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. https://www.recruitingfromscratch.com/
Title:
Applied AI Engineer Location:
New York City (SoHo) Company Stage of Funding:
Series A (Backed by Thrive Capital, General Catalyst, Bain Capital Ventures, Pear VC) Office Type:
Onsite 5 days a week Salary:
$150,000 $225,000 + Competitive Equity Company Description
Our client is a fast-growing, AI-first healthtech startup that is transforming how new medical therapies reach the market. By abstracting the complexity of insurance, pharmacy supply chains, and affordability programs, this company enables doctors and patients to get life-changing treatments faster and more efficiently. Backed by top-tier VCs and led by repeat founders, the company is scaling rapidly and already supporting thousands of patients per day. This is a rare opportunity to work on highly practical, production-grade applications of AI/LLMs while helping solve one of the most pressing challenges in healthcare access. What You Will Do
As an
Applied AI Engineer , youll lead end-to-end projects deploying LLMs and machine learning models into production. Youll be working cross-functionally with product, engineering, and operations teams to solve real business problems. Your work will directly contribute to key outcomes like user growth, revenue, and operational efficiency. Responsibilities include: Designing, building, and deploying AI/ML models with real-world business impact
Taking full ownership of projects from ideation to production and iteration
Collaborating across the tech stack backend to frontend to integrate ML into product features
Working closely with leadership and cross-functional partners to identify high-leverage opportunities
Constantly iterating and optimizing for speed, performance, and impact in a high-growth environment
Ideal Candidate Background
015 years of professional experience as an AI/ML Engineer, Applied Scientist, or similar role
Proven experience deploying machine learning solutions into production environments
Strong product sense with an ability to think through real-world tradeoffs
Background working at high-quality startups or top-tier companies (e.g., Stripe, Square, Scale AI)
Track record of owning projects end-to-end, including infrastructure, modeling, and post-launch iteration
Bachelors or advanced degree in Computer Science or related technical field (top-tier schools preferred)
Former founders are highly valued
Preferred
Familiarity with modern AI tooling and frameworks: LLM APIs, PyTorch, TensorFlow
Full-stack development skills: Python, React, TypeScript, PostgreSQL
Experience with cloud-native infrastructure, especially Kubernetes
Exceptional communication skills and a low-ego, collaborative mindset
Recognition in top student programs (e.g., Pear Fellow, Neo Scholar) is a plus
Compensation and Benefits
Base Salary: $150,000 $225,000
Equity: Competitive, meaningful ownership
Location: Onsite in SoHo, NYC (in-person, 5 days/week)
Visa sponsorship is available
Work with a small, elite team of builders, operators, and technologists
Help solve a high-impact problem at the intersection of AI and healthcare
If you're excited about shipping high-impact AI products and shaping the future of healthcare accessibility, this role is for you. #J-18808-Ljbffr