AI Software Engineer
New
J
JobgetherSoftware Engineering
Our partner is looking for an AI Software Engineer based in United States.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- Release ManagementAgile methodologiesQuality Assurance
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent professional experience.
- 5+ years of experience leading software development initiatives within complex enterprise environments.
- Strong foundation in software engineering, application architecture, modern development methodologies, and engineering best practices.
- Hands-on experience with AI-assisted coding tools, developer productivity platforms, intelligent automation, or related technologies.
- Demonstrated success delivering software products using Agile methodologies.
- Deep understanding of software testing, quality assurance, CI/CD pipelines, automated validation, and release management.
- Experience mentoring engineers and leading the adoption of new technologies, tools, processes, or development workflows.
- Ability to balance innovation and delivery speed with software quality, security, compliance, and risk management.
- Strong written, verbal, and interpersonal communication skills.
- Experience developing technical standards, governance frameworks, engineering playbooks, operating procedures, or enablement programs.
- Familiarity with security, compliance, and regulated software development environments.
Responsibilities
- Lead the implementation and adoption of AI-assisted and autonomous software development practices across engineering teams.
- Deliver strategic, revenue-impacting software enhancements using AI-enabled development workflows combined with human testing, review, and validation.
- Establish and continuously improve standards, governance processes, quality controls, and risk-management practices for AI-generated code.
- Create and maintain engineering playbooks, best practices, operating procedures, and repeatable workflows for AI-enabled software delivery.
- Partner with Engineering, Product, Architecture, and Applied AI teams to align priorities and support implementation.
- Develop automated build, testing, validation, and verification frameworks that enable fast, reliable, and high-quality software releases.
- Coach and mentor engineers on effectively incorporating AI tools throughout the software development lifecycle.
- Develop and deliver training sessions, workshops, and documentation to build organizational capability in AI-assisted development.
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