AI Software Engineer [Remote]

Mission + People + Culture : With a corporate Mission to stop disease through technology, InductiveHealth 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.

Why work at InductiveHealth?

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.

5. Impact : Your individual contributions will stop the spread of disease and improve individual, community, and population health outcomes.

The AI Software Engineer is responsible for helping establish, scale, and operationalize AI-assisted software development practices within the Engineering organization. This role will demonstrate how high-quality, revenue-impacting software can be delivered through an autonomous development model where AI agents generate code, engineers validate outcomes through testing and review, and teams continuously improve delivery velocity without sacrificing quality, security, or compliance.  

This role will drive the adoption of repeatable AI-enabled engineering workflows, deliver strategic product enhancements, develop standards and playbooks, and coach engineers to independently execute autonomous development practices across multiple teams. As the organization’s AI-enabled development capabilities mature, this position is expected to evolve into a broader technical leadership role focused on engineering enablement, adoption, and organizational capability building.  

What You'll Be Doing In This Role

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

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  Deliver revenue-impacting software enhancements using autonomous development and human review workflow.  

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

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  Create and maintain engineering playbooks, best practices, and operating procedures for autonomous software delivery.  

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

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

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

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  Coach and mentor engineers on effectively leveraging AI tools throughout the software development lifecycle.  

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

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

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

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

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  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.  

What Are We Looking For?

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

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

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

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

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  Demonstrated success delivering software products through Agile methodologies.  

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

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  Experience mentoring engineers and driving organizational adoption of new technologies and workflows.  

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

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

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  Experience creating technical standards, governance models, playbooks, or enablement programs.  

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  Proven ability to manage multiple priorities and drive measurable business outcomes.  

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  Familiarity with compliance, security, and regulated software development environments.  

What Will Make You Stand Out?

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  Experience implementing AI-first or autonomous software development practices at scale.  

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  Proven track record of improving engineering productivity through automation and intelligent tooling.  

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  Experience leading organizational change and technology transformation initiatives.  

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  Strong understanding of human-in-the-loop development models and AI governance frameworks.  

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  Ability to create repeatable engineering processes that can be adopted across multiple teams.  

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  Experience coaching engineers to effectively partner with AI tools while maintaining engineering excellence.  

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  Demonstrated success building communities of practice, training programs, or capability-building initiatives.  

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  Background working in highly regulated industries such as healthcare, financial services, or government.  

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  Experience measuring and communicating the business impact of engineering transformation programs.  

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  Passion for exploring emerging AI technologies and translating them into practical engineering outcomes.  

$170,000 - $200,000 a year

Benefits and Perks: InductiveHealth offers competitive benefits and perks including:

· Virtual first, remote organization and culture

· Flexible Paid Time Off (PTO)

· 401(k) retirement plan with corporate matching

· Medical, prescription, vision, and dental coverage (multiple plans based on your needs)

· Short Term and Long Term Disability (for employee)

· Life Insurance (for employee)

· New Team Member support for home office setup

About InductiveHealth: InductiveHealth () was co-founded by Matthew Dollacker and Stephen Macauley in 2013. Today, InductiveHealth is headquartered in Atlanta, Georgia and has over 80 team members across the United States supporting state, tribal, local, and territorial (STLT) public health agencies in addition to Federal agencies such as the Centers for Disease Control and Prevention (CDC). In early 2021, InductiveHealth became the exclusive commercial partner of Johns Hopkins University Applied Physics Laboratory (JHU/APL) for the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) syndromic surveillance solution. To accelerate growth in the wake of the COVID-19 pandemic, InductiveHealth become a portfolio company of Diversis Capital () in early 2022.

All responses to applications will come from [email protected] or from the domain @inductivehealth.com.

InductiveHealth is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, or disability.