Job Description
We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future Tech is seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco. You will be at the forefront of developing next-generation generative AI models and autonomous systems that will redefine industry standards.
As a key player in our '2026 Initiative,' you will not just write code; you will architect the infrastructure for the future. If you are obsessed with pushing the boundaries of Machine Learning and have a passion for solving complex problems at scale, we want to hear from you.
Why Join Us?
- Impactful Work: Directly contribute to products that will be used by millions globally.
- Future-Proof Your Career: Work on the bleeding edge of technology required for 2026.
- Competitive Compensation: Top-tier salary and equity package in the heart of Silicon Valley.
Responsibilities
- Lead Model Development: Design, train, and fine-tune state-of-the-art Large Language Models (LLMs) and generative AI systems.
- Infrastructure Optimization: Build scalable, high-performance inference pipelines capable of handling millions of requests per second.
- Research & Innovation: Stay ahead of the curve by integrating the latest research from top AI conferences (NeurIPS, ICML) into production systems.
- Collaboration: Partner with product managers and data scientists to translate complex business requirements into robust AI solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, 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: Deep proficiency in Python, PyTorch, TensorFlow, and SQL.
- Cloud Expertise: Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Strong ability to tackle ambiguous problems and derive data-driven insights.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.