Job Description
About Nexus Future Labs
We are on a mission to redefine human-machine interaction through advanced artificial intelligence. As a leading innovator in the Generative AI space, we are seeking a visionary Senior Generative AI Engineer to join our elite engineering team in San Francisco. You will be at the forefront of building scalable, safe, and transformative AI systems that power the next generation of enterprise applications.
The Role
In this high-impact position, you will own the architecture and development of Large Language Models (LLMs) and multimodal generative systems. You will work in a collaborative environment that values technical excellence, creative problem-solving, and ethical AI development.
Responsibilities
- Architect and implement state-of-the-art LLM fine-tuning pipelines using PyTorch and Hugging Face Transformers.
- Design and optimize Retrieval-Augmented Generation (RAG) architectures to ensure factual accuracy and reduce hallucinations.
- Deploy and maintain MLOps infrastructure for continuous model training, evaluation, and production serving.
- Collaborate closely with product managers and data scientists to define feature requirements and technical roadmaps.
- Establish and enforce AI governance frameworks to ensure data privacy and ethical compliance.
- Conduct rigorous performance benchmarking and A/B testing of generative models.
Qualifications
- 7+ years of professional experience in Machine Learning or Deep Learning engineering.
- Extensive expertise in Python and modern DL frameworks (PyTorch, TensorFlow).
- Proven track record of working with Generative Models (GPT, BERT, Llama, Stable Diffusion).
- Strong understanding of Natural Language Processing (NLP) techniques and tokenization strategies.
- Experience with vector databases (Pinecone, Milvus, Weaviate) and cloud platforms (AWS, GCP, Azure).