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# AI Engineer H/F

- **Company:** Ideal Energy Group LLC
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), A/B Testing, Artificial Intelligence, Computer Programming, Design of User Interfaces, Python (Programming Language), Machine Learning, OpenAI, Next.js, TypeScript, Tailwind, ReactJS, Evaluation Pipelines, Large Language Models, HuggingFace, Front End Software Development
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_6d4a1d9825f32357255341dbb65671ca

## About the Role

We're seeking a creative and practical thinker who thrives in ambiguity, loves building with AI, and has an eye for design and developer ergonomics., * 5+ years of experience in research engineering, applied ML, or related fields.

 * Strong programming skills in Python and JavaScript/TypeScript.
 * Experience working with or fine-tuning LLMs (OpenAI, Hugging Face, etc.).
 * A solid understanding of modern frontend technologies (React, Tailwind, etc.).

## Description

The v0 team is a fast-moving group within Vercel focused on building the future of UI development with AI. We're working on v0.dev, a cutting-edge generative design tool that turns natural language into functional, beautiful React components using Tailwind CSS, leveraging large language models and novel research in human-AI collaboration., As an AI Engineer, you'll sit at the intersection of machine learning, product development, and frontend engineering. You'll work closely with product designers, ML scientists, and full-stack engineers to prototype and deploy innovative systems that redefine how developers and designers build interfaces., * Designing and developing prototypes that explore new interaction paradigms powered by LLMs.

 * Researching and implementing state-of-the-art models and prompting strategies for UI generation and code synthesis.
 * Collaborating on building and fine-tuning internal tools, datasets, and evaluation pipelines.
 * Running A/B tests and user experiments to validate hypotheses and improve generation quality.
 * Bridging the gap between research and production-bringing cutting-edge techniques into a stable and scalable environment.