AI Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish, scale, and operationalize AI-assisted software development methodologies within the Engineering organization.

• Lead the adoption of AI-assisted software development techniques across engineering teams.

• Deliver software enhancements that impact revenue through autonomous development and human review workflows.

• Establish and enhance standards, governance processes, and quality controls for AI-generated code.

• Create and uphold engineering playbooks, best practices, and operational procedures.

• Collaborate with Engineering, Product, Architecture, and Applied AI teams.

• Develop automated frameworks for building, testing, and validating software.

• Ensure solutions comply with quality, security, compliance, and testing standards.

• Coach and mentor engineers in utilizing AI tools throughout the software development lifecycle.

• Design and deliver training sessions, workshops, and enablement resources.

• Monitor adoption, assess effectiveness, and enhance AI-enabled engineering practices.

• Contribute to communities of practice and advocate for modern software engineering, automation, and AI-driven productivity.

• Take on increasing technical leadership responsibilities as practices expand.

⛳️ Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent experience.

• Over 5 years of experience leading software development projects in complex enterprise settings.

• Strong foundation in software engineering, application architecture, and contemporary development practices.

• Familiarity with AI-assisted coding tools, developer productivity platforms, or software automation technologies.

• Proven success in delivering software products using Agile methodologies.

• Comprehensive understanding of software testing, quality assurance, CI/CD pipelines, and release management.

• Experience in mentoring engineers and fostering organizational adoption of new technologies and workflows.

• Ability to balance innovation, speed, quality, and risk management effectively.

• Excellent collaboration and communication skills with both technical and non-technical stakeholders.

• Experience in creating technical standards, governance models, playbooks, or enablement initiatives.

• Demonstrated ability to manage competing priorities and achieve measurable business results.

• Familiarity with compliance, security, and regulated software development environments.

• Experience in implementing AI-first or autonomous software development practices at scale.

• Proven track record in enhancing engineering productivity through automation and intelligent tools.

• Experience in leading organizational change and technology transformation projects.

• Strong understanding of human-in-the-loop development frameworks and AI governance models.

• Ability to create repeatable engineering processes adopted across several teams.

• Experience in coaching engineers to effectively partner with AI tools while maintaining engineering excellence.

• Success in building communities of practice, training programs, or capability-building initiatives.

• Background in regulated industries such as healthcare, financial services, or government.

• Experience in measuring and conveying the business impact of engineering transformation initiatives.

• A passion for exploring emerging AI technologies and converting them into practical engineering results.

🏝️ 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 tailored to your needs).

• Short Term and Long Term Disability coverage (for employee).

• Life Insurance (for employee).

• Support for new team members to set up their home office.