Job Description
Are you ready to architect the future of artificial intelligence? Nexus Future Tech is looking for a visionary Senior AI & LLM Engineer to spearhead our 2026 roadmap.
In this pivotal role, you won't just maintain existing models; you will pioneer the next generation of Generative AI, Autonomous Agents, and cognitive computing systems. We are building the infrastructure that will power the world's most advanced digital experiences.
Why Join Us?
- Work on cutting-edge Artificial General Intelligence (AGI) prototypes.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a premium office in the heart of San Francisco.
Responsibilities
- Design, train, and fine-tune large-scale Foundation Models (LLMs) for enterprise applications.
- Optimize model inference latency and memory usage using Rust and CUDA for high-performance deployments.
- Lead the research and implementation of Reinforcement Learning from Human Feedback (RLHF) pipelines.
- Collaborate with product teams to integrate complex AI capabilities into consumer-facing applications.
- Establish best practices for data governance, model security, and ethical AI usage.
- Architect scalable MLOps pipelines ensuring seamless CI/CD for machine learning models.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in building and deploying deep learning models.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of NLP, Transformers, and vector databases.
- Experience with high-performance computing (HPC) and distributed systems.
- Demonstrated success in leading cross-functional engineering teams.