AI Software Engineer
New
I
InductiveHealthPublic Health SaaS
United StatesFull-TimeSenior
Salary170,000 - 200,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AgileRelease ManagementCI/CDQuality AssuranceSoftware Engineering
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 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 of new 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 standards, governance models, playbooks, or enablement programs.
- Familiarity with compliance, security, and regulated software development environments.
Responsibilities
- Lead the implementation of AI-assisted software development practices across engineering teams.
- Deliver revenue-impacting software enhancements using autonomous development and human review workflow.
- Establish and continuously improve standards, governance processes, and quality controls for AI-generated code.
- Create and maintain engineering playbooks, best practices, and operating procedures for autonomous software delivery.
- Partner closely with Engineering, Product, Architecture, and Applied AI teams to align priorities.
- Develop automated build, testing, and validation frameworks that enable rapid and reliable code verification.
- Coach and mentor engineers on effectively leveraging AI tools throughout the software development lifecycle.
- Develop and deliver training, workshops, and enablement resources that build organizational capability.
- Monitor adoption, measure effectiveness, and continuously improve AI-enabled engineering practices.
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