Senior Software Engineer (AI)

🏥 About Marble Health

Marble is building the operating system for youth mental health, connecting schools, therapists, families, and payers to deliver effective care to kids who need it most. We’re growing 40% MoM, just raised our Series A ($15.5M led by Inspired Capital), and are expanding rapidly beyond New York.

Our platform integrates scheduling, communication, documentation, billing, and more – all to reduce friction for providers and improve care for kids. We're on a mission to empower a healthier, happier generation, and we're just getting started.

⭐ Role Overview

We believe that AI has the potential to dramatically accelerate access to quality, affordable mental healthcare for kids. And we believe that our model — which brings together schools, therapists, payers, and patients on to the same operating system for the first time ever — uniquely positions us to lead the industry into this new era.

We're seeking a senior AI engineer to lead this vision by integrating generative AI and large language models into our product, support systems, and operations. You'll focus on building AI solutions for clinical documentation, care recommendations, automated support workflows, and more. This is a high-leverage, full-stack engineering and leadership role: you'll drive AI-first initiatives while building robust, scalable full stack products.

💻 What You’ll Do

Build full-stack AI-powered products

• Design and ship AI-first applications that support therapists, patients, families, and schools. Projects may include auto-drafting therapist notes, pre/post-session assistant tools, and AI agents for support and operations.

Lead AI adoption across Marble

• Identify and execute high-impact AI use cases across product, support, and internal tooling. Define and drive our long-term AI roadmap in collaboration with product, growth, and ops teams.

Own AI infrastructure and best practices

• Build and maintain the backend systems powering AI features — including prompt orchestration, model integration, feedback loops, and evaluation pipelines. Establish standards for safe, scalable, and responsible AI.

Raise the bar on engineering standards

• Be a senior voice on the team. Mentor engineers, share knowledge on AI integration, and help drive engineering quality across the org.

Collaborate cross-functionally

• Work closely with product, growth, and operations teams to understand user needs and ensure our AI solutions are useful, empathetic, and trustworthy.

✅ Qualifications

Requirements

• 2 years of hands-on AI experience and strong full stack product experience
• Expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies
• Strong experience with prompting techniques, RAG pipelines, evaluation mechanisms, and fine-tuning LLMs
• NYC-based and able to work from our SoHo office 2+ days/week

Bonus

• Prior startup or early-stage experience is strongly preferred, but not required
• Prior experience in the healthtech space
• Strong full stack experience

🎯 Marble Traits

🏃 Relentless Drive

• You’re the hardest worker in the room who takes full responsibility for outcomes and tackles any task, no matter how small.⁠⁠

🧑‍🤝‍🧑 Introspective Team Player

• You invest in relationships and team morale while actively seeking feedback and self-evaluating to continuously improve.⁠⁠

🧭 Operationally Excellent

• You communicate clearly, think logically, and execute efficiently & effectively.

🧩 Role Traits

🕵️ Detective – Problem Solving

• You get to the root of problems. You follow the trail, ask sharp questions, use every resource available, and don’t stop until you're confident it’s truly solved.

♟️ Chess Master – Analytical Thinking

• You focus on high-impact initiatives and say "no" to distractions. This includes balancing short-term wins with long-term vision, making tough trade-off decisions with limited resources, and maintaining focus on what truly matters.

🦎 Chameleon – Adaptability

• You move seamlessly between priorities, technologies, and parts of the stack — from low-level implementation to high-level strategy.

🧑‍🏫 Teacher – Collaboration & Mentorship

• You bring others with you. You share context, give thoughtful feedback, and raise the bar for the whole team.