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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Systems Engineer (2026 Visionary)

Nexus Horizon
New York
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

At Nexus Horizon, we are not just preparing for 2026; we are architecting the future. We are seeking a visionary Senior AI Systems Engineer to lead the development of our next-generation generative intelligence infrastructure. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production systems.

As we move into the era of autonomous agents and hyper-personalized AI, your expertise will be crucial in building robust, ethical, and high-performance systems. Join a team of forward-thinkers dedicated to redefining the technological landscape of the next decade.

Responsibilities

  • Design & Architecture: Lead the end-to-end design of scalable AI infrastructure, focusing on LLMs, MLOps pipelines, and real-time inference engines.
  • Performance Optimization: Implement advanced optimization techniques to reduce latency and increase throughput for large-scale data processing.
  • Model Deployment: Oversee the deployment of machine learning models in cloud environments (AWS/Azure), ensuring high availability and fault tolerance.
  • Ethical AI Implementation: Integrate fairness, transparency, and safety guidelines into system design to ensure responsible AI adoption.
  • Cross-Functional Leadership: Collaborate with data scientists, product managers, and security experts to translate business needs into technical solutions.
  • System Monitoring: Establish robust monitoring and alerting systems to proactively identify and resolve system bottlenecks.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • Experience: 5+ years of professional experience in software engineering, with at least 3 years specializing in AI/ML systems.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with containerization technologies (Docker, Kubernetes).
  • Cloud Expertise: Strong understanding of cloud-native architectures and services (AWS, GCP, or Azure).
  • System Design: Proven track record of designing high-concurrency systems and distributed databases.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning MLOps Kubernetes AWS TensorFlow System Design AI Ethics Cloud Architecture

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