Job Description
We are Nexus AI Labs, a pioneering research organization defining the intelligence of tomorrow. As we race towards the autonomous AI landscape expected to dominate 2026, we are seeking a visionary Senior AI Architect to lead our R&D efforts in Large Language Models (LLMs) and Agentic AI systems.
In this role, you will not just implement existing models; you will architect the future of autonomous reasoning, multi-agent collaboration, and long-context memory systems. You will work directly with top-tier researchers and engineers to build the infrastructure that powers the next generation of human-AI symbiosis.
Why Join Us?
- Be at the epicenter of the Agentic AI revolution.
- Work on cutting-edge multimodal models.
- Competitive compensation and equity package.
Key Objectives:
- Design scalable, fault-tolerant inference infrastructure for 2026-scale model deployments.
- Lead research into Chain-of-Thought reasoning and tool-use capabilities.
- Mentor a team of talented ML engineers and data scientists.
Responsibilities
- Design and implement scalable architectures for LLM fine-tuning and inference pipelines.
- Research and prototype novel architectures for autonomous agents, focusing on memory, planning, and execution.
- Optimize model performance for latency and throughput in production environments.
- Collaborate with the product team to translate research breakthroughs into viable products.
- Establish best practices for MLOps and model governance within the organization.
- Stay abreast of the latest advancements in AI safety, alignment, and synthetic data generation.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 7+ years of professional experience in Machine Learning, Deep Learning, or AI Research.
- Deep expertise in PyTorch, TensorFlow, or JAX with a proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
- Strong understanding of transformer architectures, attention mechanisms, and modern LLM techniques.
- Experience designing systems for multi-agent workflows and tool-use agents.
- Excellent communication skills and a passion for mentoring junior talent.