AI Engineer - SDLC Process Improvement
# AI Engineer - SDLC Process Improvement **Pierce** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Engineer]` `[Machine-Learning-Engineer]` `[Software-Engineer]` `[DevOps-Engineer]` `[SDLC-Process-Improvement]` `[AI-SDLC]` --- ### About the Role 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
- AI-Engineer
- Machine-Learning-Engineer
- Software-Engineer
- DevOps-Engineer
- SDLC-Process-Improvement
- AI-SDLC
Наблюдалась 2026-10-02, впервые 2026-10-02, источник — Himalayas (JSON API).