Job Description
Are you ready to architect the future of intelligent systems?
Nexus Dynamics is at the forefront of next-generation AI innovation. We are seeking a visionary Senior AI Engineer 2026 to join our elite engineering team in San Francisco. If you are passionate about pushing the boundaries of Generative AI, Large Language Models, and autonomous systems, we want to hear from you.
In this role, you won't just build models; you will define the roadmap for how machines understand and interact with the world in 2026 and beyond.
Why Join Us?
- Work with cutting-edge LLMs and Transformer architectures.
- Competitive equity package and remote-first flexibility.
- Impact millions of users with transformative AI solutions.
- Top-tier benefits and professional development budget.
Ready to shape the future? Apply today.
Responsibilities
- Lead Model Development: Design, train, and deploy state-of-the-art Machine Learning and Deep Learning models, focusing on scalability and efficiency for the 2026 landscape.
- Architectural Vision: Spearhead the architecture of our AI infrastructure, ensuring robustness, security, and high availability across cloud environments.
- Research & Innovation: Stay ahead of the curve by implementing the latest research papers and integrating novel techniques into production pipelines.
- Performance Optimization: Rigorously optimize inference latency and model accuracy to deliver seamless user experiences.
- Team Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Collaboration: Partner closely with product managers, designers, and researchers to translate business requirements into technical AI solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering with a proven track record of deploying models to production.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with Hugging Face and LangChain is highly preferred.
- System Design: Strong understanding of distributed systems, MLOps (MLflow, Kubeflow), and cloud platforms (AWS, GCP, or Azure).
- Mathematical Fluency: Solid grounding in linear algebra, calculus, probability, and statistics.
- Communication: Excellent ability to explain complex technical concepts to non-technical stakeholders.