Himalayas Remote / WFH Teknologi & IT Full Time

AI Engineer - SDLC Process Improvement

Pierce

United States Salary not disclosed Posted 5 days ago
Location United States
Salary Salary not disclosed
Job Type Full Time · Remote
Country Amerika Serikat

Job Description

Full details about the role and requirements

Yukerja Summary

The AI Engineer - SDLC Process Improvement role at Pierce is curated from Himalayas (category Teknologi & IT). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.

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.

Originally posted on Himalayas

Disclaimer: Yukerja.com is a job aggregator, not an employer. This listing is aggregated from Himalayas. Applications are processed on the official company or source site. We are not responsible for listing accuracy.

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