Job Description
The Future of Intelligence is Here.
Nexus Future Labs is pioneering the next generation of autonomous AI systems. We are seeking a visionary Senior Generative AI Engineer to join our elite team in San Francisco. As we look toward the horizon of 2026, you will be at the forefront of developing multimodal models that redefine human-computer interaction.
In this role, you won't just maintain existing systems; you will architect the foundational intelligence that will power our products for years to come. We value deep technical expertise, ethical AI practices, and the ability to turn complex research into scalable production solutions.
Why Join Us?
- Work on cutting-edge Agentic AI architectures.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Design, train, and fine-tune large language models (LLMs) and multimodal systems for the 2026 AI landscape.
- Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Optimize model inference latency and throughput for real-time applications.
- Collaborate with cross-functional teams (Product, Design, Research) to define AI product requirements.
- Maintain the ethical integrity of our AI systems through rigorous bias testing and safety protocols.
- Drive MLOps best practices to ensure scalable, reliable, and secure model deployment.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- 5+ years of experience in Machine Learning, Natural Language Processing (NLP), or Deep Learning.
- Expert proficiency in Python and frameworks such as PyTorch or TensorFlow.
- Strong understanding of Transformer architectures, Attention mechanisms, and pre-training strategies.
- Experience with cloud platforms (AWS, GCP) and containerization tools (Docker, Kubernetes).
- Proven track record of deploying production-ready ML models.