[Remote] AI Engineer - SDLC Process Improvement
Note: The job is a remote job and is open to candidates in USA. Dice is seeking an AI Engineer - SDLC Process Improvement to enhance the software development lifecycle by integrating AI technologies and automating key processes. This role focuses on leveraging AI to streamline development workflows, improve code quality, and accelerate delivery timelines across engineering teams.
Responsibilities
- Analyze current SDLC processes to identify opportunities for AI-driven improvements and automation
- Design and implement AI-powered tools to support code review, testing, deployment, and monitoring
- Collaborate with software engineering, QA, and DevOps teams to integrate AI solutions seamlessly into existing workflows
- Develop metrics and evaluation frameworks to measure the effectiveness and impact of AI enhancements on SDLC efficiency
- Drive continuous improvement initiatives by leveraging data-driven insights and A/B testing of AI tools within the development lifecycle
Skills
- Strong foundation in AI/ML techniques and their practical application in software development and automation
- Experience with SDLC processes, software engineering best practices, and DevOps principles
- Proficiency in Python and relevant AI frameworks such as PyTorch or TensorFlow
- Demonstrated ability to design and implement AI-powered tooling for code analysis, testing, or deployment automation
- Experience with process improvement methodologies and metrics-driven evaluation
- Excellent communication and collaboration skills to work effectively across engineering teams
- Familiarity with CI/CD pipelines, A/B testing frameworks, and monitoring tools
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