Job Description
We are building the technological backbone for the year 2026. Nexus Horizon is seeking a visionary Senior AI Infrastructure Engineer to design, deploy, and scale cutting-edge machine learning systems. In this pivotal role, you will bridge the gap between theoretical AI advancements and robust, production-ready infrastructure.
Your expertise will directly shape our roadmap, ensuring our platforms can handle the computational demands of next-generation artificial intelligence. If you are passionate about the future of tech and want to work at the forefront of innovation, we want to hear from you.
Why Join Us?
- Work on projects that define the future of AI.
- Competitive compensation and equity packages.
- Flexible remote and hybrid work options.
- Access to the latest hardware and research tools.
Responsibilities
- Design and implement scalable distributed systems for training and deploying large language models (LLMs).
- Optimize training pipelines and inference engines to reduce latency and improve throughput.
- Collaborate with data science teams to translate research into production-grade code.
- Ensure high availability, fault tolerance, and security of all AI infrastructure components.
- Research and evaluate new hardware accelerators and cloud services to stay ahead of the 2026 tech curve.
- Mentor junior engineers and establish best practices for AI engineering within the organization.
Qualifications
- 5+ years of experience in software engineering, with at least 2 years specializing in AI/ML infrastructure.
- Deep understanding of machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Experience with high-performance computing clusters and GPU orchestration.
- Strong programming skills in Python and C++.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.