Job Description
Are you ready to define the intelligence of tomorrow? Nexus Future Labs is seeking a visionary Senior Generative AI Engineer to join our elite team in San Francisco. As we look toward 2026, we are building the next generation of Large Language Models and autonomous agents.
We are looking for a technical expert who can bridge the gap between cutting-edge research and scalable production engineering. You will work on the core infrastructure that powers our AI ecosystem, ensuring our models are not only state-of-the-art but also ethical, efficient, and safe.
Why Join Us?
- Work on the frontier of Artificial Intelligence.
- Competitive compensation and equity packages.
- Flexible work environment in the heart of SF.
Responsibilities
- Design, train, and fine-tune large-scale language models (LLMs) using PyTorch and TensorFlow.
- Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy.
- Collaborate with data scientists to curate high-quality training datasets.
- Deploy AI models to production environments using Docker and Kubernetes.
- Ensure AI systems are compliant with ethical guidelines and safety protocols.
- Research and prototype novel architectures for next-gen AI applications.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related field (or equivalent experience).
- 5+ years of professional experience in AI, Machine Learning, or Data Science.
- Deep expertise in Python, PyTorch, and Hugging Face Transformers.
- Experience with vector databases (Pinecone, Weaviate) and LLM orchestration (LangChain, LlamaIndex).
- Strong understanding of NLP concepts, attention mechanisms, and transformer architecture.
- Excellent communication skills and ability to translate technical concepts for diverse stakeholders.