AI Engineer – SDLC Process Improvement

Job not on LinkedIn

🕒 March 23

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Pierce Professional Resources

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2003

🏢 Enterprise

🎯 Recruiter

💼 Consulting

Enterprise • Recruitment • Consulting

Pierce Professional Resources is a company specializing in technical and workforce solutions aimed at helping businesses evolve. They offer a range of services including technical staffing, automation and AI, cloud solutions, data modernization, digital transformation, and UI/UX consulting. Additionally, they provide agile leadership coaching, PMO services, and assist with transactional mergers and acquisitions. With over 30 years of experience, Pierce Professional Resources emphasizes delivering exceptional technical solutions and personalized services for their clients, aiming to optimize operations and drive innovation. They focus on building partnerships by deeply understanding client needs and providing customized solutions to achieve success.

📋 Description

• 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.