Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Future Labs is seeking a visionary Senior AI Product Engineer to lead our next generation of generative intelligence systems. If you thrive in high-stakes environments and are passionate about the future of Artificial Intelligence, this is your opportunity to shape the future.
We are building the infrastructure that will power the autonomous economy. In this role, you will bridge the gap between theoretical research and scalable product implementation, ensuring our solutions are not only intelligent but also efficient and secure.
Why Join Us?
- Work on frontier AI models that impact millions.
- Competitive equity and top-tier compensation package.
- Flexible remote-first culture with premium San Francisco office access.
Responsibilities
- Architect Scalable Systems: Design and implement robust, scalable machine learning pipelines and data architectures capable of handling petabyte-scale datasets.
- Lead R&D: Spearhead research initiatives into Large Language Models (LLMs) and multimodal agents, pushing the boundaries of what is possible in 2026.
- Product Strategy: Translate complex technical concepts into clear product requirements and roadmaps for cross-functional engineering teams.
- Performance Optimization: Rigorously optimize model inference speeds and reduce latency to ensure real-time user experiences.
- Security & Ethics: Implement best-in-class data privacy measures and ensure AI outputs align with ethical guidelines and safety protocols.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent professional experience).
- Experience: 5+ years of professional experience in software engineering, with a specific focus on Machine Learning or Deep Learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- LLM Expertise: Deep understanding of transformer architectures, fine-tuning methodologies, and prompt engineering for LLMs.
- Problem Solving: Exceptional ability to debug complex systems and innovate under tight deadlines.