Job Description
Shape the Future of Intelligence.
We are seeking a visionary Senior Generative AI Engineer to spearhead the development of next-generation AI architectures. As we look toward the 2026 tech horizon, our mission is to redefine human-computer interaction through advanced reasoning, creative synthesis, and autonomous agent workflows.
In this pivotal role, you will build and optimize Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems that scale to millions of users. If you are passionate about pushing the boundaries of what AI can achieve and want to work with state-of-the-art technology, we want to hear from you.
Why Nebula Systems?
- Competitive compensation package with significant equity opportunities.
- Access to cutting-edge compute resources (H100 clusters) and open-source research.
- Collaborative environment with world-class researchers and engineers.
- Flexible remote-first work culture with a hub in San Francisco.
Responsibilities
- Architect and deploy scalable fine-tuning pipelines for Large Language Models.
- Develop and optimize Retrieval-Augmented Generation (RAG) systems to enhance factual accuracy and reduce hallucinations.
- Implement robust evaluation frameworks and metrics to measure model performance and safety.
- Collaborate with product teams to integrate AI agents into complex, real-world workflows.
- Stay ahead of the curve on emerging AI trends, including multimodal models and diffusion techniques.
Qualifications
- 5+ years of software engineering experience, with 3+ years specifically in NLP or Generative AI.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of transformer architectures, attention mechanisms, and tokenization strategies.
- Experience with vector databases (Pinecone, Milvus) and cloud infrastructure (AWS, GCP).
- Excellent problem-solving skills and a strong commitment to ethical AI development.