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Inductivehealth

AI Software Engineer

Inductivehealth · United States

Location
United States
Posted
9 days ago
Type
Full time / Remote
Salary
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What the job really is

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. 

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