Job Description
We are seeking a visionary Senior Generative AI Engineer to lead the next wave of artificial intelligence innovation at Nebula AI Labs. In this role, you will architect scalable LLM architectures, fine-tune foundation models, and deploy AI solutions that will define the technological landscape of 2026 and beyond. We are looking for a problem-solver who is passionate about the ethical and practical implications of AI.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Model (LLM) projects.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a hub in Austin, TX.
Apply today to shape the future of intelligent systems.
Responsibilities
- Model Development: Design, train, and optimize large-scale generative models using Python and modern deep learning frameworks.
- Infrastructure: Build and maintain high-performance MLOps pipelines to ensure scalable deployment and inference.
- Research: Stay at the forefront of AI research, implementing state-of-the-art techniques such as Retrieval-Augmented Generation (RAG) and fine-tuning strategies.
- Collaboration: Partner with product and engineering teams to translate complex AI concepts into user-friendly applications.
- Ethics: Ensure AI outputs are safe, unbiased, and aligned with our company values.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent experience).
- Experience: 5+ years of experience in software engineering, machine learning, or deep learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Hugging Face Transformers.
- LLM Knowledge: Deep understanding of Large Language Models, NLP, and prompt engineering.
- Soft Skills: Strong communication skills and the ability to mentor junior engineers.