Job Description
Are you ready to architect the digital reality of 2026? Nexus Future Systems is on the hunt for a visionary AI Architect to lead our next generation of generative intelligence platforms. We are not just building software for today; we are engineering the infrastructure for tomorrow.
In this pivotal role, you will bridge the gap between theoretical AI advancements and scalable production systems. You will work in a high-performance environment focused on Large Language Models (LLMs), Neural Interfaces, and Edge Computing.
Why Join Us?
- Work on cutting-edge tech stack.
- Competitive equity and benefits.
- Remote-first culture with SF HQ presence.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, fault-tolerant machine learning pipelines capable of handling petabyte-scale data.
- Pioneering GenAI: Lead the integration and fine-tuning of state-of-the-art Large Language Models (LLMs) for enterprise applications.
- Future-Proofing: Continuously evaluate emerging technologies (e.g., neuromorphic computing) to integrate them into our roadmap.
- Optimization: Drive performance engineering to reduce latency and enhance inference speeds for real-time applications.
- Mentorship: Foster a culture of technical excellence by mentoring junior engineers and conducting code reviews.
Qualifications
- Education: Master’s or PhD in Computer Science, AI, or a related field.
- Experience: 5+ years of professional experience in software engineering and machine learning.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; deep understanding of distributed systems.
- AI Expertise: Proven track record of deploying LLMs and NLP models in production environments.
- Problem Solving: Ability to tackle complex, ambiguous technical challenges with innovative solutions.