AI Engineer – SDLC Process Improvement
Pierce Professional Resources
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- 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.
Requirements
- 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.
- Bonus: Familiarity with CI/CD pipelines, A/B testing frameworks, and monitoring tools.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI/ML techniquesPythonPyTorchTensorFlowSDLC processessoftware engineering best practicesDevOps principlescode analysisdeployment automationprocess improvement methodologies
Soft Skills
communication skillscollaboration skills