AI Engineer - SDLC Process Improvement
Pierce Technology Corp Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Pierce Technology Corp. Remote, United States · no salary stated · we estimate $132,450–$205,151 across the United States.
Pierce Technology Corp has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Map existing development steps and pinpoint where AI or automation could make them work better
- Build AI tools that assist with code review, testing, deployment and monitoring
- Coordinate with software engineering, QA and DevOps teams to add AI into their established workflows
- Set up measures to judge how AI changes affect SDLC efficiency
- Use data and A/B testing to guide ongoing improvements to AI tools in development
What you bring
- You understand AI and machine learning techniques and how they apply to software development or automation
- You have experience with SDLC workflows, sound software engineering practices and DevOps principles
- You can work in Python and use PyTorch, TensorFlow or another listed AI framework
- You have built AI tooling for code analysis, testing or automating deployment
Who this fits
This mid-level role suits an AI engineer who can combine hands-on tooling with process analysis. You’ll work across software engineering, QA and DevOps teams.
From the employer
Pierce Technology Corp is seeking an AI Engineer - SDLC Process Improvement to enhance our software development lifecycle (SDLC) by integrating cutting-edge 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.
Key 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.
This role requires a blend of AI engineering expertise, process analysis skills, and cross-functional collaboration to transform the way our engineering teams build and deliver software.
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.