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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the Future of Intelligence

Nexus AI Labs is at the forefront of the generative AI revolution. We are looking for a visionary Senior AI Engineer to join our elite technical team in San Francisco. In this role, you will architect and deploy scalable machine learning models that redefine user experiences across our global platform.

Join a culture that values innovation, speed, and impact. You will work with state-of-the-art tools and collaborate with world-class researchers and engineers to build the next generation of AI applications.

Responsibilities

  • Spearhead the design and deployment of advanced Machine Learning models, specifically focusing on Large Language Models (LLMs) and NLP.
  • Optimize model inference and training pipelines to ensure high performance and low latency in production environments.
  • Collaborate closely with product managers and data scientists to translate complex business requirements into technical AI solutions.
  • Establish and maintain MLOps best practices, including CI/CD, automated testing, and monitoring for model drift.
  • Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards.
  • Stay ahead of the curve by researching and integrating the latest advancements in AI research into our product suite.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering with a strong portfolio of deployed models.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of transformer architectures, neural networks, and deep learning principles.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

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

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