Job Description
Join the Visionary Team Defining the AI Landscape of 2026
We are seeking a brilliant Senior Generative AI Architect to lead the next generation of intelligent systems. At Nexus Future Labs, we are not just building AI; we are architecting the future of human-computer interaction for the year 2026 and beyond. You will be at the forefront of research, pushing the boundaries of Large Language Models (LLMs), multimodal reasoning, and autonomous agent systems.
Why Join Us?
- Work on cutting-edge technology that will define the industry standard for the next decade.
- Competitive compensation package and equity options.
- Collaborate with world-class engineers and researchers.
If you are passionate about building scalable, ethical, and revolutionary AI systems, we want to hear from you.
Responsibilities
- Architect Next-Gen Models: Design and implement proprietary Large Language Models and multimodal AI systems optimized for enterprise scalability.
- Research & Development: Lead internal research initiatives to explore novel architectures, including diffusion models and transformer evolutions.
- Optimization & Efficiency: Drive model quantization, pruning, and inference optimization to reduce latency and cost in production environments.
- Ethical AI Leadership: Establish and enforce guidelines for bias mitigation, safety, and responsible AI deployment.
- Technical Mentorship: Guide a team of junior engineers and researchers, fostering a culture of innovation and continuous learning.
- Product Integration: Translate complex research findings into deployable features for our flagship product suite.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Machine Learning/AI.
- Experience: 5+ years of professional experience in deep learning, specifically with PyTorch or TensorFlow.
- Technical Proficiency: Extensive knowledge of Natural Language Processing (NLP), Generative AI, and Reinforcement Learning from Human Feedback (RLHF).
- System Design: Proven track record of designing high-throughput, low-latency distributed systems for AI workloads.
- Programming: Expert-level proficiency in Python, C++, and CUDA.
- Communication: Exceptional ability to communicate complex technical concepts to cross-functional stakeholders and investors.