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Senior AI Engineer - 2026 Vision

Nexus Future Systems
Seattle
Estimated Salary
USD 160.000 – USD 210.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are pioneering the next generation of generative intelligence and are looking for a visionary Senior AI Engineer to define the technology landscape of 2026 and beyond.

In this pivotal role, you will lead the development of scalable, ethical, and high-performance artificial intelligence systems. You will collaborate with world-class engineers and product designers to build autonomous agents and generative models that push the boundaries of what is possible. If you are passionate about the future of technology and want to work on projects that will define the next era of human-computer interaction, this is the opportunity for you.

Why Join Nexus Future Systems?
We offer competitive compensation, significant equity packages, and the freedom to explore groundbreaking research.

Responsibilities

  • Architect and deploy state-of-the-art deep learning models for enterprise-scale applications.
  • Research and implement novel algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Optimize model inference pipelines for speed, accuracy, and cost efficiency on cloud infrastructure.
  • Mentor junior data scientists and conduct rigorous code reviews to maintain engineering excellence.
  • Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
  • Stay abreast of the latest academic research to integrate breakthrough techniques into our production stack.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • Minimum of 5 years of professional experience in AI/ML engineering or research.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with distributed training and MLOps (MLflow, Kubeflow, Docker, Kubernetes).
  • Proven track record of shipping production-level AI models into the market.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

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

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