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AI Engineer - SDLC Process Improvement

Pierce Technology Corp
Posted 6 months ago, valid for 13 days
Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Pierce Technology Corp is hiring an AI Engineer - SDLC Process Improvement to enhance their software development lifecycle by integrating AI technologies and automating processes.
  • The role requires a strong foundation in AI/ML techniques, experience with SDLC processes, and proficiency in Python and AI frameworks like PyTorch or TensorFlow.
  • Candidates should have at least 3 years of relevant experience in AI engineering and process improvement methodologies.
  • The position involves analyzing current SDLC processes, designing AI-powered tools, and collaborating with engineering teams to improve efficiency.
  • Salary for this role is competitive and commensurate with experience.

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.

  • 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.



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