Job Description
Are you ready to shape the next era of artificial intelligence? Nexus AI Systems is looking for a visionary Senior Generative AI Engineer to join our elite team in San Francisco. In this pivotal role, you will architect and deploy state-of-the-art Large Language Models (LLMs) and multimodal systems that define the future of human-machine interaction. We are pushing the boundaries of what is possible in 2026 and beyond, and we need a technical leader to guide our model development strategy.
Why Join Us?
- Work on cutting-edge Generative AI technologies that impact millions of users.
- Competitive salary and equity package in a high-growth startup environment.
- Flexible remote-first culture with access to world-class tech stacks.
Responsibilities
- Design and implement scalable pipelines for training, fine-tuning, and serving Generative AI models (e.g., GPT-4, LLaMA, Claude).
- Architect Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and reduce hallucinations in production.
- Collaborate with data scientists to curate high-quality datasets and optimize model performance through iterative experimentation.
- Deploy AI solutions to production environments using MLOps frameworks (e.g., Kubernetes, MLflow, Docker).
- Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
- Stay abreast of the latest research in NLP and Deep Learning to innovate our product roadmap.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent industry experience).
- 5+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Machine Learning.
- Strong proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.
- Experience with vector databases (e.g., Pinecone, Milvus) and cloud infrastructure (AWS/GCP/Azure).
- Proven track record of deploying AI models that improve user engagement and business metrics.
- Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.