AI Software Engineer

Mission + People + Culture

With a corporate Mission to stop disease through technology, Inductive Health is the market leader in software-as-a-service (SaaS) solutions to public health agencies. Our People come from all backgrounds and walks of life ranging from world class experts in epidemiology, informatics, and disease surveillance to engineers and product teams building high performance, modern solutions. Mission + People are unified around a virtual first Culture centered around teamwork, relentless focus on client outcomes, and individual accountability.

• 1.
  Motivation :
  We value initiative-takers and self-starters who want to contribute to the success of our Team and client outcomes.
• 2.
  Curiosity :
  Seeking to understand and comprehend is critical - we expect and encourage questions to master job duties and grow professionally.
• 3.
  Organization :
  We are a Team. This means we hold each other accountable and have high expectations for performance and outcomes.
• 4.
  Feedback : “Open and honest” is part of our corporate values that builds a culture of professional growth to support client success.
• Impact :
  Your individual contributions will stop the spread of disease and improve individual, community, and population health outcomes.

• Lead the implementation of AI-assisted software development practices across engineering teams.

• Deliver revenue-impacting software enhancements usingautonomousdevelopment and human review workflow.

• Establish and continuously improve standards, governance processes, and quality controls for AI-generated code.

• Create andmaintainengineering playbooks, best practices, and operating procedures for autonomous software delivery.

• Partner closely with Engineering, Product, Architecture, and Applied AI teams to align priorities and remove delivery obstacles.

• Develop automated build, testing, and validation frameworks that enable rapid and reliable code verification.

• Ensure delivered solutions meet established quality, security, compliance, and testing requirements.

• Coach and mentor engineers on effectivelyleveragingAI tools throughout the software development lifecycle.

• Develop and deliver training, workshops, and enablement resources that build organizational capability in AI-assisted software development.

• Monitor adoption, measure effectiveness, and continuously improve AI-enabled engineering practices.

• Contribute to communities of practice that promote knowledge sharing and continuous improvement across engineering teams.

• Serve as a champion for modern software engineering practices, automation, and AI-enabled productivity.

• Take on increasing technical leadership responsibilities over time, with the opportunity to grow into a formal leadership role as AI-assisted development practices scale across the organization.

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.

• 5+ years leading software development initiatives in complex enterprise environments.

• Strong background in software engineering, application architecture, and modern development practices.

• Experience working with AI-assisted coding tools, developer productivity platforms, or software automation technologies.

• Demonstrated success delivering software products through Agile methodologies.

• Deep understanding of software testing, quality assurance, CI/CD pipelines, and release management.

• Experience mentoring engineers and driving organizational adoption ofnew technologies and workflows.

• Ability to balance innovation, speed, quality, and risk management.

• Strong collaboration and communication skills with both technical and non-technical stakeholders.

• Experience creating technical…