Staff Software Engineer - Brain Health, AI

Staff Software Engineer - Brain Health, AI Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com http://hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com. THE OPPORTUNITY Join the team transforming how we treat chronic pain by addressing its root cause: the brain. Hinge Health is expanding beyond physical therapy to build a comprehensive Brain Health ecosystem. In this mission-critical role, you will lead the architecture and development of agentic AI systems that deliver personalized pain reprocessing therapy and mindfulness interventions. You will bridge the gap between clinical science and software engineering, building the engine that helps millions of members retrain how their nervous systems process pain. WHAT YOU'LL ACCOMPLISH - Architect Next-Gen AI Therapies: Build and scale the agentic AI systems that power multi-session conversational therapy, ensuring they maintain context, demonstrate emotional intelligence, and align with clinical protocols. - Build a Unified Education Platform: Design the centralized service that delivers personalized pain science education and mindset strategies, adapting content to each member’s therapeutic goals. - Drive Technical Strategy: Define the long-term technical vision for Brain Health in partnership with product and clinical leadership, balancing immediate delivery with scalable, fault-tolerant infrastructure. - Set the Bar for MLOps: Establish the practices for model evaluation, effectiveness monitoring, and safety guardrails, specifically tailored to the unique challenges of mental health AI. - Lead & Mentor: Act as a technical beacon for the team, mentoring engineers, fostering a culture of technical excellence, and driving cross-functional collaboration across data science, clinical, and platform teams. WHO YOU ARE - A Strategic Builder: You don't just write code; you architect systems that scale. You have a deep understanding of distributed systems and can navigate the complexity of building AI-driven products in a regulated healthcare environment. - A "Learn-it-all": You stay on the bleeding edge of AI and software engineering, constantly evaluating emerging technologies to optimize performance and improve the platform. - A Cross-Functional Leader: You thrive in multidisciplinary environments, translating complex technical concepts for clinical and product stakeholders to ensure our solutions are both clinically sound and technically robust. - An Owner-Operator: You take pride in your work, from architecture to production support, embodying a DevOps culture where you own the reliability and performance of your code. BASIC QUALIFICATIONS - 8+ years of professional software engineering experience, with at least 2 years focused on AI platforms, machine learning systems, or data infrastructure. - 2+ years of experience with Python (for AI/ML workloads) and TypeScript/NestJS (for cloud microservices). - Strong background in cloud platforms (AWS preferred) and containerization (Docker, Kubernetes). - Proven experience designing distributed systems and large-scale data processing architectures. - 2+ years of experience mentoring engineers and leading technical decision-making in cross-functional teams. PREFERRED QUALIFICATIONS - Experience building and maintaining end-to-end AI/ML platforms in a cloud environment. - Proficiency with Infrastructure-as-Code tools (Terraform or CloudFormation). - Familiarity with data engineering practices and tools (e.g., Spark, Kafka, ETL pipelines). - Excellent communication skills with the ability to explain technical concepts to non-technical stakeholde ... (truncated, view full listing at source)