Job Description
Are you ready to define the AI landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI Research Engineer to lead the development of next-generation autonomous agents and multimodal large language models. We are building the infrastructure for the future, and we need a technical leader who can bridge the gap between theoretical research and scalable production systems.
In this role, you won't just be writing code; you will be architecting the cognitive capabilities that will power enterprise applications for years to come. If you are passionate about pushing the boundaries of what's possible in Generative AI and want to work in a high-impact environment, this is your opportunity.
Responsibilities
- Lead the design and implementation of cutting-edge AI architectures, focusing on autonomous agents and reinforcement learning.
- Research and prototype novel algorithms to improve model efficiency, accuracy, and safety standards for the 2026 era.
- Collaborate with cross-functional teams to integrate AI models into real-world products, ensuring seamless deployment and performance.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Stay ahead of industry trends, specifically in LLM fine-tuning, RAG (Retrieval-Augmented Generation), and AI safety.
- Optimize existing models for reduced latency and higher throughput on massive-scale inference clusters.
Qualifications
- Ph.D. or M.S. in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 5+ years of professional experience in machine learning, deep learning, or NLP.
- Proven expertise in Python, PyTorch, or TensorFlow.
- Strong understanding of transformer architectures and large language model training methodologies.
- Experience deploying AI models in production environments using cloud infrastructure (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile startup environment.