Principal Engineer

San Francisco 22 months agoFull-time External
Negotiable
Who We Are: Amae Health is creating the standard of care for people with severe mental illness We’re on a mission to deliver radically different care for the 14 million Americans suffering with a severe mental illness (SMI). Amae Health is a verticalized specialty care provider for patients with SMI, treating their psychiatric and physical conditions through in-person care delivery with wrap-around services. Our approach recognizes the unique needs of our patients, and provides personalized treatment across the physical, mental and social service resources required to holistically improve patients’ lives. We believe that only by treating the whole person can you obtain lasting health outcomes. Amae Health is a Series A venture-backed Public Benefit Corporation, backed by leading healthcare and technology investors. Position Overview: We are seeking a talented and innovative Principal Engineer with expertise in Full Stack Engineering and Machine Learning/AI to drive the architecture and lead the development of our technology platform. You have an avid interest in digital health technologies and tools that drive innovation and impact, and you are motivated to understand the needs and pain points of our clinical staff and of the patients we serve. As a key member of our team, you will play a pivotal role in designing and implementing solutions that drive our mission forward and improve the lives of individuals who are living with Severe Mental Illness (SMI). This position is an ideal fit for a contributor who wants to be on the ground floor of helping build a fast-paced and mission-driven healthcare organization. This role offers a competitive salary + equity package. Responsibilities: • Design, develop, and deploy scalable and robust full-stack solutions for our technology platform that deliver high usability, operational efficiency, and strong ROI • Partner with clinical and operational leadership to define and evolve long and short term technology roadmaps that scale with Amae and enable Amae’s growth and clinical outcome goals • Make informed strategic tradeoffs between new capabilities, user experience improvements, technical foundation enhancements, and tech-debt management to ensure long term impact and sustainability of technical operations • Collaborate with cross-functional teams to understand business requirements and translate them into clear technical specifications to inform build/buy/outsource decisions • Lead the integration of Machine Learning and AI capabilities into our platform to enhance user experience and optimize care delivery • Drive innovation and experimentation with emerging technologies to continuously improve our operations and care delivery • Build workflows and infrastructure for prompt engineering and fine-tuning • Work cross-functionally to identify and improve pain points in our stack Competencies: • Passion for solving problems in the healthcare domain with technical experience previously working in the healthcare industry • 4+ years experience in a software engineering role, building scalable, cloud-deployed solutions while collaborating with clinical, operations and product partners • 4+ years of experience deploying software to AWS while understanding the security needs of a company in a highly-regulated space (HIPAA/HITECH) • Innovative thinker who knows how to iterate and evolve a distributed software solution while carefully balancing the needs of privacy, security, and reliability against a changing healthcare landscape • Expert understanding of modern tech-stack and demonstrated ability to adapt and thrive in diverse technical environments; proficiency in a variety of tech stacks and frameworks • Proven expertise in backend technologies, preferably Python or Node.js • Familiarity with frontend technologies like HTML, CSS, JavaScript, and ReactJS. • Demonstrated experience integrating AI/Machine Learning into tech stack • NLP/ML data pipelines and workflows • Prompt programming and large language models • Machine learning infrastructure • Familiarity with Electronic Health Records and data privacy laws (HIPAA/HITECH, 42 CFR Part 2) • A solid understanding of integrating with third-party APIs that provide services like EHR management, MBC analysis, and other advanced mental health-focused tools • Strong experience in an Agile development environment • Prolific individual contributor, who role models developing quality software and technical design, who collaborates well and who is also able to provide guidance and direction to teams (employed/contracted/vendor) as required • Experienced in building product roadmaps, making strategic trade offs, and prioritizing initiatives based on impact and user experience • Bachelor's or Master's degree in Computer Science, Engineering, or related field or an equivalent amount of work experience • Ability to thrive in a fast-paced, dynamic environment and adapt to evolving priorities and challenges. Join us in shaping the future of mental healthcare delivery and making a meaningful impact on the lives of individuals with Severe Mental Illness