Applied AI Engineer

Blossom Health exists to solve the mental health epidemic in America by partnering with psychiatrists to expand access to affordable, timely, clinically effective mental healthcare. Our AI-native care platform is loved by hundreds of clinicians and tens of thousands of patients.

We’re a Series A company with $20M+ raised from Headline, Village Global, and the founders of General Catalyst, Flatiron Health, Sword Health, Fay, Elemy, Zip, Blank Street, Assured, Bridge, Birches Health, and Enzo Health.

We're looking for an Applied AI Engineer to build and ship the intelligent systems powering the next generation of psychiatric care.

You'll work closely with our engineering team to design, develop, and deploy AI-native products and LLM-powered agents that automate complex healthcare workflows and fundamentally improve how clinicians deliver care.

This isn't a role focused on building AI demos or experimenting with models in isolation. You'll take emerging AI capabilities from prototype to production, owning everything from system architecture and implementation to evaluation, reliability, and continuous improvement.

We're looking for someone with exceptional software engineering fundamentals, hands-on experience shipping AI products, and the ambition to build at the frontier of applied AI in a high-growth startup.

Why You Should Work Here

• 🚀 Be early in a hyper-growth startup: Join a foundational engineering team and help shape the AI infrastructure, architecture, and products behind Blossom's next stage of growth.

• Build AI products that actually matter: Your work will directly improve how clinicians deliver care, reduce administrative burdens, and expand access to mental healthcare for thousands of patients.

• 🤝 High trust and autonomy: Own meaningful technical challenges from day one, make architectural decisions, and have the freedom to take ideas from concept to production.

• 🧠 Talent-dense engineering team: Work alongside exceptional engineers from Meta, Apple, and AWS who bring high technical standards, intellectual curiosity, and a shared ambition to build something consequential.

• Move at the frontier of AI: Experiment with emerging models, agentic systems, and new AI capabilities while solving complex, real-world problems in healthcare.

What You'll Do

• Build AI-native product experiences: Design, develop, and ship intelligent features used directly by clinicians and patients across Blossom's platform.

• Engineer LLM-powered agents and workflows: Build systems that automate and augment complex clinical and operational processes through tool calling, retrieval, and intelligent orchestration.

• Own AI products end-to-end: Take features from initial exploration and prototyping through production deployment, evaluation, monitoring, and iteration.

• Build reliable, production-grade AI systems: Develop evaluation frameworks, observability, and feedback loops to continuously improve accuracy, reliability, latency, and cost efficiency.

• Design scalable application infrastructure: Work across Python, TypeScript, model APIs, backend services, retrieval systems, and integrations to support increasingly sophisticated AI capabilities.

• Translate emerging AI capabilities into real products: Rapidly experiment with new models and techniques, identify practical applications, and turn promising ideas into measurable improvements.

• Collaborate directly with clinicians and engineers: Understand complex healthcare workflows, identify high-impact opportunities, and build solutions grounded in real user needs.

• Shape our engineering direction: Contribute to technical architecture, development practices, and foundational decisions as our engineering team and AI platform scale.

You'll Be a Good Fit If

• You have 2+ years of professional software engineering experience, ideally in a highly technical, high-performing engineering organization or venture-backed technology startup.

• You have hands-on experience building and shipping LLM-powered applications or AI products in production, beyond prototypes or personal projects.

• You're highly proficient in Python and/or TypeScript, with strong fundamentals in software design, backend development, and system architecture.

• You've worked with modern LLM APIs, agentic systems, tool calling, retrieval-augmented generation (RAG), structured outputs, or similar applied AI technologies.

• You understand the engineering challenges behind production AI systems, including evaluations, reliability, latency, cost optimization, observability, and failure modes.

• You can independently navigate ambiguous technical problems, evaluate tradeoffs, and take solutions from concept to production.

• You're comfortable working across the stack and quickly learning new models, frameworks, and technologies.

• You have strong product instincts and care about building technology that delivers measurable value to real users.

• You thrive in fast-moving environments where priorities evolve quickly and there isn't always an established playbook.

• You have a bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

• You're authorized to work in the United States.

• You're excited to work in-person in New York City, 5 days a week.

Bonus: You've worked as a software engineer at a high-growth, venture-backed startup or top-tier technology company, where you've independently owned and shipped production AI products, agentic workflows, or complex distributed systems.

What We're Looking For

• Highly motivated, ambitious, and capable: You want to tackle large, meaningful technical problems and hold yourself to an exceptionally high bar.

• Ownership mindset: You take responsibility for outcomes, not just code, and approach engineering challenges with a founder's mentality.

• High velocity and high excellence: You move quickly, ship consistently, and take pride in building reliable, well-engineered products.

• Technically rigorous: You think deeply about architecture, scalability, performance, and failure modes rather than settling for solutions that simply work in a demo.

• Product-minded: You understand that great engineering is about solving real problems and creating meaningful value for users.

• An explorer: You're energized by ambiguity, experimentation, and pushing the boundaries of what's possible with emerging technologies.

• Humble: You value feedback, collaborate openly, and use your strengths in service of the team.

Compensation & Benefits

• $150,000–$220,000 base salary

• Meaningful equity ownership

• Significant growth opportunities as the company scales

• Beautiful, sunshine and snack-filled office in the heart of Flatiron, Manhattan

• Health, dental, and vision insurance

• A focus on outcomes, not hours

• Team outings, offsites, and unlimited PTO