Job Description
Join Nexus Future Labs as our AI Architect, where you will define the technological roadmap for the year 2026 and beyond. We are not just building software; we are architecting the cognitive infrastructure of the future. In this pivotal role, you will lead the design and implementation of next-generation Large Language Models (LLMs) and autonomous AI agents.
We are looking for a visionary engineer who thrives on ambiguity and possesses the technical depth to build systems that scale to billions of parameters. If you are passionate about the intersection of Generative AI, ethics, and high-performance computing, this is your opportunity to shape the AI landscape.
Why Join Us?
- Work on cutting-edge AI models that define the 2026 era.
- Competitive equity package and salary.
- Remote-first culture with HQ in the heart of San Francisco.
Responsibilities
- Lead the architectural design of scalable, multi-modal AI systems for the 2026 roadmap.
- Oversee the training and fine-tuning of proprietary Large Language Models (LLMs) using proprietary datasets.
- Develop and implement robust AI governance, safety, and ethical frameworks to mitigate hallucinations and bias.
- Optimize model inference latency and resource efficiency for edge deployment scenarios.
- Collaborate with cross-functional teams (Product, Engineering, Legal) to translate technical capabilities into market-ready features.
- Research and prototype emerging technologies in the Generative AI space.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
- 8+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Deep Learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong understanding of Transformer architectures, Attention mechanisms, and Reinforcement Learning from Human Feedback (RLHF).
- Proven experience deploying large-scale ML models in production environments (AWS, GCP, or Azure).
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.