Job Description
Are you ready to architect the intelligence of tomorrow?
Nebula AI Systems is a pioneering research lab defining the roadmap for Artificial General Intelligence (AGI) and autonomous agents. We are looking for a visionary Senior Generative AI Engineer to lead the development of the next generation of Large Language Models (LLMs) and cognitive systems that will power the enterprise of 2026.
In this role, you will bridge the gap between cutting-edge research and scalable production deployment. You will work in a high-performance environment, pushing the boundaries of what is possible with Transformers, Reinforcement Learning from Human Feedback (RLHF), and multimodal architectures.
Why Join Us?
- Work on the foundational technology of the next decade.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art infrastructure.
What You Will Do:
Responsibilities
- Lead the design, training, and fine-tuning of proprietary Large Language Models (LLMs) and multimodal agents.
- Architect and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance accuracy and reduce hallucinations.
- Implement advanced Reinforcement Learning from Human Feedback (RLHF) and Constitutional AI techniques.
- Collaborate with cross-functional teams of researchers, product managers, and engineers to integrate AI capabilities into consumer and enterprise products.
- Maintain high standards of code quality, documentation, and reproducibility within the MLOps ecosystem.
- Stay ahead of the curve by researching and integrating emerging academic breakthroughs into our production systems.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or NLP.
- Expert proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong experience with Hugging Face Transformers, LangChain, or similar LLM orchestration tools.
- Proven track record of deploying scalable ML models to production environments.
- Deep understanding of statistical NLP, attention mechanisms, and transformer architectures.
- Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.