Job Description
Are you ready to architect the future of intelligence?
Nexus Future Labs is pioneering the technologies that will define the year 2026. We are seeking a visionary Senior AI Architect to lead the development of next-generation Generative AI, Autonomous Agents, and Multi-modal Large Language Models. If you are obsessed with pushing the boundaries of what is possible with AI and want to build systems that think, learn, and adapt, this is your opportunity to shape the trajectory of technology.
In this role, you will not just write code; you will design the cognitive architecture for our next generation of products. You will work at the intersection of deep learning, distributed systems, and product innovation.
Why Join Us?
- Work on cutting-edge projects that are 2-3 years ahead of the market curve.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium co-working spaces in SF.
Responsibilities
- Design and implement scalable AI infrastructure capable of handling 2026-level data volumes and complexity.
- Lead the architecture for Generative AI models, focusing on Long-Context Understanding and Agentic Workflows.
- Optimize model inference speeds and reduce latency for real-time applications.
- Mentor a team of brilliant engineers and researchers, fostering a culture of innovation and excellence.
- Evaluate and integrate novel architectures such as State Space Models (SSMs) and Mixture of Experts (MoE).
- Ensure ethical AI practices and robustness in adversarial environments.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 8+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of deploying large-scale LLMs (e.g., GPT-4, Llama 3, Claude) into production environments.
- Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and MLOps pipelines.
- Experience with fine-tuning, RAG (Retrieval-Augmented Generation), and AI Agents.