Job Description
Are you ready to architect the digital landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI Engineer to lead our cutting-edge research division. We are building the foundational infrastructure for the next generation of autonomous systems, merging Generative AI with Quantum-ready architectures.
In this pivotal role, you won't just be writing code; you will define the roadmap for how humans interact with machines in the coming decade. You will work at the intersection of theoretical computer science and practical application, pushing the boundaries of what is possible in AI safety, scalability, and performance.
Join us in shaping the future of technology and leave a legacy that defines the year 2026 and beyond.
Responsibilities
- Lead the research and development of next-generation AI models, focusing on LLM optimization and agentic workflows for 2026 deployment.
- Architect scalable, fault-tolerant distributed systems capable of handling petabyte-scale data processing in real-time.
- Collaborate with cross-functional teams of quantum computing experts and software engineers to integrate emerging technologies.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Define technical roadmaps and best practices for AI model deployment and monitoring.
- Conduct rigorous performance testing and security audits to ensure system integrity.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning frameworks (PyTorch, TensorFlow, JAX).
- Extensive experience building and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
- Strong proficiency in Python, C++, and distributed computing environments (Kubernetes, AWS, GCP).
- Demonstrated ability to solve complex, unstructured problems with elegant, efficient code solutions.
- Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.