Job Description
Shape the Future of Intelligence
Nexus Horizon Systems is pioneering the next era of artificial intelligence. We are seeking a visionary Senior AI Research Engineer to lead our '2026 Readiness' initiative, focusing on Agentic AI and Autonomous Systems. You will be at the forefront of defining the technological landscape for the coming decade, building systems that do not just process data but understand and execute complex goals.
Why Join Us?
We offer a competitive compensation package, equity, and the opportunity to work on projects that will define the industry standard for the next five years. Our team operates at the intersection of theoretical research and practical application, ensuring our solutions are scalable, ethical, and groundbreaking.
Responsibilities
- Lead Agentic AI Development: Architect and implement autonomous AI agents capable of multi-step reasoning and complex decision-making for the 2026 market.
- Optimize Neural Architectures: Design and train novel deep learning models to improve inference speed and accuracy by 40%.
- R&D Strategy: Conduct cutting-edge research in Large Language Models (LLMs) and multimodal AI to stay ahead of industry trends.
- System Integration: Collaborate with engineering teams to integrate research prototypes into scalable production environments.
- Mentorship: Guide junior researchers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in machine learning research, with a strong portfolio of published papers or deployed models.
- Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and experience with GPU clusters (CUDA).
- AI Specialization: Deep understanding of LLMs, Reinforcement Learning, or Natural Language Processing.
- Problem Solving: Proven ability to tackle ambiguous problems and deliver robust solutions under tight deadlines.