עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Job Summary
As an AI Automation & Prompt Optimization Engineer on the AI Testing & Workflow Validation team, you will design, test, and refine prompts that enable AI models to generate code and execute automated workflows. Youll work closely with engineering, QA, and product teams to ensure AI-driven features are accurate, reliable, and aligned with user and technical requirements. This role combines creativity in prompt design with rigorous testing and validation practices.
Our commitment to open source innovation extends beyond our products - its embedded in how we work and grow. Our employees embrace change especially in our fast-moving technological landscape and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
We are seeking highly experienced professionals with at least 7 years of hands-on expertise in the areas described.
What you will do:
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.
Bachelors 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.
Knowledge of prompt-engineering best practices, including bias mitigation and output evaluation metrics.
Familiarity with model performance metrics such as functional correctness, ROUGE, or BLEU.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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