Software Engineer – AI Testing and Workflow Validation / Prompt Engineer – Feature Development

Red Hat

full-time

Posted on: 8/28/2025

Origin: • 🇺🇸 United States • Massachusetts, North Carolina

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💰 $189,600 - $312,730 per year

Mid-LevelSenior

CloudKubernetesLinuxOpen SourcePython

About the role

Design, iterate, and optimize prompts for AI-assisted code generation and workflow execution.
Collaborate with product owners, developers, and QA to translate feature requirements into effective prompting strategies and evaluation benchmarks.
Validate AI-generated outputs through structured test cases, regression testing, and performance evaluation.
Build or adapt internal tooling to streamline prompt testing, versioning, and deployment.
Capture insights from prompt performance, including failure modes, and iterate toward more consistent, high-quality results.
Document prompt patterns, metrics, and best practices to support knowledge sharing across the team.
Work closely with engineering, QA, and product teams to ensure AI-driven features are accurate, reliable, and aligned with user and technical requirements.

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Hands-on experience working with large language models (e.g., GPT, LLaMA, Claude) for code generation or workflow automation.
Strong coding skills in Python or a similar language, with the ability to integrate AI outputs into backend or frontend systems.
Familiarity with testing methodologies and frameworks, including unit, integration, and regression testing.
Excellent analytical, problem-solving, and communication skills.
(Nice-to-Have) Prior experience with AI-assisted development tools or IDE integrations.
(Nice-to-Have) Knowledge of prompt-engineering best practices, including bias mitigation and output evaluation metrics.
(Nice-to-Have) Familiarity with model performance metrics such as functional correctness, ROUGE, or BLEU.