Senior AI Software Engineer — Remote & Autonomous Dev

InductiveHealth

United States

Remote

USD 170,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Virtual first culture

Flexible PTO

401(k) matching

Medical coverage

Vision coverage

Dental coverage

Disability insurance

Life Insurance

Home office support

Job summary

InductiveHealth is hiring a senior engineering leader to scale AI-assisted software development across our engineering teams. You will drive autonomous development with human review workflows, establish standards, and mentor engineers to adopt AI tools.

You will collaborate with Product, Architecture, and Applied AI teams, build automation frameworks, and ensure security, compliance, and quality across releases. A strong track record in regulated environments helps here.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
5+ years leading software development initiatives in complex enterprise environments.
Strong background in software engineering, 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, QA, 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 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.

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 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 effectively leveraging AI 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.