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# AI Software Engineer

- **Company:** REMOTE
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Agile Methodology, Artificial Intelligence, Applications Architecture, Code Generation, Continuous Integration, Integrated Development Environments, Release Management, Software Engineering, AI Coding Agents, Information Technology, Production Code, Human in the Loop
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_8c64f2733cbdabd178d99bf4719f46ab

## About the Role

* 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.
 * 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 of 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 that can be adopted across multiple teams.
 * Experience coaching engineers to effectively partner with AI tools while maintaining engineering excellence.
 * Demonstrated success building communities of practice, training programs, or capability-building initiatives.
 * Background working in highly regulated industries such as healthcare, financial services, or government.
 * Experience measuring and communicating the business impact of engineering transformation programs.
 * Passion for exploring emerging AI technologies and translating them into practical engineering outcomes.

## Description

* Motivation: We value initiative-takers and self-starters who want to contribute to the success of our Team and client outcomes.
 * Curiosity: Seeking to understand and comprehend is critical - we expect and encourage questions to master job duties and grow professionally.
 * Organization: We are a Team. This means we hold each other accountable and have high expectations for performance and outcomes.
 * Feedback: "Open and honest" is part of our corporate values that builds a culture of professional growth to support client success.
 * Impact: Your individual contributions will stop the spread of disease and improve individual, community, and population health outcomes., * 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 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 across the organization.