Job Description
Are you ready to shape the technological landscape of 2026? Nexus Horizon AI is pioneering the next generation of artificial intelligence. We are looking for a Generative AI Engineer who is not just building models, but architecting the future of human-machine interaction.
In this role, you will work at the forefront of Large Language Model (LLM) innovation, pushing the boundaries of what is possible in autonomous agents, creative generation, and reasoning systems. Join us in building the infrastructure that will define the industry standard for the coming decade.
Why Join Us?
- Work on cutting-edge research that directly impacts the 2026 AI roadmap.
- Competitive equity and salary packages for top-tier talent.
- Flexible remote-first policy with a hub in the heart of SF.
- Access to state-of-the-art compute infrastructure.
Apply today to become a key architect of the future.
Responsibilities
- Architect and deploy state-of-the-art Large Language Models (LLMs) using PyTorch and TensorFlow.
- Optimize model inference performance and reduce latency for real-time applications.
- Implement Retrieval-Augmented Generation (RAG) pipelines to enhance factual accuracy.
- Develop and fine-tune domain-specific models for proprietary datasets.
- Ensure AI safety, fairness, and robustness in all generated outputs.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers.
- Publish research findings and contribute to open-source AI communities.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in Deep Learning, NLP, or Generative AI.
- Strong proficiency in Python and experience with Hugging Face Transformers.
- Deep understanding of transformer architectures, attention mechanisms, and diffusion models.
- Experience with distributed training and model serving (e.g., Kubernetes, TorchServe).
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
- Clear communication skills to translate complex technical concepts for diverse audiences.