Applied AI Software Engineer (All Levels)

📋 Description

• • Design and build scalable, reliable systems that power core product workflows for Blossom Health’s AI-native mental healthcare platform.
• • Ship high-quality code that balances speed with technical rigor, ensuring systems meet performance, reliability, and security standards.
• • Proactively identify, mitigate, and resolve system reliability risks, taking ownership of uptime, observability, and performance as first-class engineering concerns.
• • Leverage cutting-edge AI technologies to create intuitive, novel experiences for clinicians and patients, enhancing access to timely and clinically-effective mental healthcare.
• • Conduct thoughtful, constructive code reviews that elevate team standards and foster engineering excellence across the organization.
• • Provide technical mentorship to peers and junior engineers, promoting best practices in architecture, testing, and deployment.
• • Take end-to-end ownership of features from concept through deployment and iteration, with minimal oversight and high autonomy.
• • Collaborate cross-functionally with product, clinical, and operations teams to translate real-world clinical needs into technical solutions.
• • Continuously explore and adopt emerging technologies to drive technical outcomes, including LLM-powered applications and AI-driven workflows.
• • Optimize system architecture to support growth from thousands to millions of users while maintaining low latency and high availability.
• • Implement and refine monitoring, alerting, and logging systems to ensure rapid detection and resolution of production issues.
• • Champion a culture of high velocity and high excellence, balancing rapid iteration with maintainable, well-documented code.
• • Translate ambiguous, uncharted problems into clear technical roadmaps and execute with precision and urgency.
• • Contribute to defining engineering standards and processes that scale with the company’s growth from Series A to future stages.
• • Act as a builder who takes joy in creating useful, impactful technology that directly improves mental health outcomes for patients and clinicians.
• • Operate with an ownership mindset, prioritizing long-term business impact and customer needs over short-term gains.
• • Embrace ambiguity and autonomy, proactively seeking solutions to questions that have not yet been asked in the domain of AI-driven mental healthcare.
• • Maintain a humble, service-oriented approach, using technical expertise to empower clinicians and expand access to care for underserved populations.