Applied AI Engineer

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.

• 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.

• 🚀 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.

• $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