Senior Software Engineer I, Care Innovation, Agentic Care

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Reporting to the Engineering Manager - Agentic Care, this Senior Software Engineer will develop AI-driven features that improve how members discover and engage with care. This role is part of the Care Innovation team and is instrumental in delivering intuitive, reliable user experiences at scale.

This is a hybrid role based in San Francisco with an expectation to be in the office 2-3 days per week at our 44 Montgomery Street location. Candidates must be based in the San Francisco Bay Area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. 

• →Integrating emerging AI technologies into the member experience
• →Own the technical design and delivery of full-stack agentic AI systems
• →Design and build scalable full-stack services using Ruby on Rails and Python.
• →Expand and maintain existing web applications and AI services
• →Write, review, and optimize production-ready code daily while making key technical decisions and holding a high bar for code quality.
• →Lead technical design reviews and produce technical designs as a primary author—delivering elegant solutions to complex problems.
• →Use AI tools (e.g., Claude, Copilot) to support technical design, explore tradeoffs, accelerate delivery, and augment code reviews—while critically evaluating all AI-generated output to ensure it meets team quality and security standards.
• →Identify repeatable tasks that can be accelerated with AI; guide junior engineers on effective and responsible AI usage.
• →Lead multi-person, multi-sprint projects: coordinate execution, manage dependencies and tradeoffs, and build alignment across stakeholders.
• →Raise and address security concerns in PRs and designs; proactively highlight performance implications and conduct load/performance testing.
• →Drive engineering best practices within your team—your code quality and approach serve as a model for others.
• →Mentor and actively develop engineers at earlier career stages through code reviews, pairing, and direct coaching.
• →Own operational excellence: exemplify best practices in logging, alerting, and monitoring; methodically investigate incidents and provide root cause analyses.

• Coding Excellence – Deliver clean, efficient, and scalable code that enhances system performance, maintainability, and reliability. Your code quality serves as a model for the team.
• Technical Leadership – Lead high-impact projects from ideation to delivery, driving technical direction while making significant hands-on coding contributions.
• AI-Augmented Engineering – Actively use AI to accelerate your work—from drafting designs and debugging to reviews and documentation—while guiding teammates to do the same responsibly and effectively.
• Scalable & Reliable Systems – Design, implement, and maintain architectures that support future growth while maintaining high system uptime and low defect rates.
• Project Execution – Consistently ship high-quality projects on time, within scope, and with high stakeholder satisfaction.
• Engineering Excellence – Elevate team standards through strong personal contributions, high-value code reviews, and proactive identification of tech debt and improvement opportunities.
• Mentorship & Growth – Act as a technical leader and mentor, fostering a culture of learning, growth, and accountability.

• 5+ years of professional software development experience
• 3+ years of experience with Ruby on Rails or Python
• Strong proficiency in building backend applications, prompt engineering, and developing AI agents.
• Experience integrating AI/ML features or LLM-powered services in production
• Actively uses AI coding tools (e.g., Claude, Copilot) and iterates on prompts to get high-quality, system-aware outputs—while critically reviewing all AI-generated code for correctness, security, and standards compliance
• Experience leading technical designs and multi-person engineering projects
• Strong problem-solving skills with a focus on delivering clean, maintainable, secure code
• Comfortable working on an agile team; curious about learning new things, including evolving AI capabilities
• Proven ability to mentor and develop other engineers
• Embraces writing well-designed tests that accompany all code
• Bonus: Background in healthcare or regulated environments.

The target base salary range for this position is $183,000 - $205,550, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.