> Markdown version of [/jobs/ext/4613400-generative-ai-engineer-remote](https://www.wearedevelopers.com/jobs/ext/4613400-generative-ai-engineer-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Generative AI Engineer (Remote)

- **Company:** Jobs via Dice
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000 - $300,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Python (Programming Language), Vector Graphics, Machine Learning, Open Source Technology, Tensorflow, Azure Machine Learning, Pytorch, Deep Learning, Generative AI, Adobe, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_1cd38d385dbffc693fcba17952cb5417

## About the Role

* Bachelor's degree in Computer Science or related field and Master's or PhD from a top-tier academic institution strongly preferred
 * Demonstrated experience building and scaling generative models (e.g., foundational models, text-to-image, Adobe Firefly)
 * Strong programming skills in Python and deep learning frameworks like PyTorch or TensorFlow
 * Expertise with text-to-image, foundational model, or generative AI
 * History of deploying multimodal AI systems in production environments
 * Industry experience in both startup and large tech environments preferred
 * Ability to pragmatically choose between custom solutions and leveraging existing tools
 * Strong ownership mindset and ability to lead model architecture without heavy oversight

## Description

* Design and implement advanced ML architectures for vector graphics generation
 * Own end-to-end development of generative AI systems, from prototyping to scalable deployment
 * Leverage foundational model techniques to power scientific communication tools
 * Collaborate with a world-class team of engineers with deep AI and product experience
 * Deploy multimodal AI pipelines and ensure robust, production-level performance
 * Drive technical decisions and long-term planning for the ML platform
 * Evaluate and incorporate open-source tools where appropriate
 * Participate in hackathons and in-person team events (remote-first culture)