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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the future of intelligence?

Nexus Horizon Systems is seeking a visionary Senior AI Engineer to join our elite team in San Francisco. We are building the next generation of Large Language Models (LLMs) and autonomous agents that will revolutionize enterprise operations. If you are passionate about pushing the boundaries of Machine Learning and possess a deep understanding of Generative AI, this is your opportunity to lead high-impact projects.

In this role, you will architect scalable AI infrastructure, optimize model performance, and collaborate with cross-functional teams to deploy cutting-edge solutions. Join us in shaping the technological landscape of 2026 and beyond.

Responsibilities

  • Design, develop, and deploy advanced Machine Learning models and Generative AI systems using Python, PyTorch, and TensorFlow.
  • Optimize existing models for speed, accuracy, and efficiency to handle production-scale data loads.
  • Collaborate with data scientists and engineers to integrate AI models into robust software architectures.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards within the AI team.
  • Research and implement the latest advancements in NLP and Computer Vision to enhance product capabilities.
  • Ensure ethical AI practices and compliance with data privacy regulations in all model deployments.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years specializing in Generative AI or LLMs.
  • Strong proficiency in Python, SQL, and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Proven track record of deploying production-grade ML models and MLOps pipelines.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps Docker Kubernetes AWS GCP SQL

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