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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

2026 Systems
Austin
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems?

Join 2026 Systems as a Senior AI Engineer and help define the next generation of machine learning solutions. We are a cutting-edge technology firm focused on developing scalable, ethical, and high-performance AI models. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and computer vision, we want to hear from you.

In this role, you will work in a dynamic, remote-first environment with a team of world-class researchers and engineers. You will be responsible for the full lifecycle of AI development, from research and prototyping to deployment and optimization.

Why Join 2026 Systems?

  • Competitive salary and equity package.
  • Flexible remote work arrangements.
  • Access to the latest hardware and cloud infrastructure.
  • Opportunity to work on mission-critical projects with high impact.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and AI architectures using Python, PyTorch, and TensorFlow.
  • Conduct research to identify novel approaches for improving model accuracy, efficiency, and robustness.
  • Collaborate with data scientists and software engineers to integrate AI models into production applications.
  • Optimize existing models for inference speed and resource consumption.
  • Ensure code quality, documentation, and adherence to best practices in software engineering and MLOps.
  • Stay abreast of the latest advancements in AI research and apply them to our product roadmap.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning or Artificial Intelligence engineering.
  • Expert proficiency in Python and deep knowledge of at least one major deep learning framework (PyTorch or TensorFlow).
  • Strong understanding of NLP, LLMs, and transformer architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to work independently in a fast-paced environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch NLP LLMs AWS GCP Docker Kubernetes MLOps Generative AI Scikit-Learn

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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