AI Software Engineer

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InductiveHealth Informatics

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

InductiveHealth Informatics is a leading provider of integrated solutions for disease surveillance and public health data management. They operate platforms such as EpiTrax, ESSENCE, and NBS to offer configurable electronic disease surveillance solutions, including AI-enhanced data migration and open-source technology for electronic laboratory and case reporting. Boasting over a decade of experience in public health technology, InductiveHealth supports public health agencies worldwide by managing jurisdictional surveillance systems and providing data infrastructure, ensuring compliance with information security standards. The company plays a pivotal role in public health intervention, rapidly detecting outbreaks, and maintaining secure and scalable data environments. InductiveHealth's success stories include the development of the COVID-19 Data Tracker, highlighting its capability in providing critical epidemiological data during global health crises.

📋 Description

• Establish, scale, and operationalize AI-assisted software development practices within the Engineering organization • Lead implementation of AI-assisted software development practices across engineering teams • Deliver revenue-impacting software enhancements using autonomous development and human review workflows • Establish and improve standards, governance processes, and quality controls for AI-generated code • Create and maintain engineering playbooks, best practices, and operating procedures • Partner with Engineering, Product, Architecture, and Applied AI teams • Develop automated build, testing, and validation frameworks • Ensure solutions meet quality, security, compliance, and testing requirements • Coach and mentor engineers on leveraging AI tools throughout the software development lifecycle • Develop and deliver training, workshops, and enablement resources • Monitor adoption, measure effectiveness, and improve AI-enabled engineering practices • Contribute to communities of practice and champion modern software engineering, automation, and AI-enabled productivity • Assume increasing technical leadership responsibilities as practices scale

🎯 Requirements

• 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 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 of new technologies and workflows • Ability to balance innovation, speed, quality, and risk management • Strong collaboration and communication skills with technical and non-technical stakeholders • Experience creating technical standards, governance models, playbooks, or enablement programs • Proven ability to manage multiple priorities and drive measurable business outcomes • Familiarity with compliance, security, and regulated software development environments • Experience implementing AI-first or autonomous software development practices at scale • Proven track record improving engineering productivity through automation and intelligent tooling • Experience leading organizational change and technology transformation initiatives • Strong understanding of human-in-the-loop development models and AI governance frameworks • Ability to create repeatable engineering processes adopted across multiple teams • Experience coaching engineers to partner effectively with AI tools while maintaining engineering excellence • Success building communities of practice, training programs, or capability-building initiatives • Background in regulated industries such as healthcare, financial services, or government • Experience measuring and communicating business impact of engineering transformation programs • Passion for exploring emerging AI technologies and translating them into practical engineering outcomes

🏖️ Benefits

• 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