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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer (2026 Vision)

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the AI landscape of 2026?


Nexus Future Tech is at the forefront of next-generation intelligence. We are seeking a visionary Senior AI Engineer to architect scalable machine learning systems that will power our products for years to come. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and Generative AI, we want to meet you.


In this role, you will not just maintain existing models; you will build the infrastructure that drives the future of human-computer interaction.


Why Join Us?

  • Work on cutting-edge AI technologies that will define the industry.
  • Competitive compensation package with equity.
  • Flexible remote and hybrid work options.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and algorithms optimized for 2026 standards.
  • Build and maintain robust data pipelines for training and fine-tuning large-scale AI models.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate AI solutions into real-world applications.
  • Optimize model inference performance to ensure scalability and low latency in production environments.
  • Conduct rigorous testing and validation of AI models to ensure accuracy, fairness, and safety.
  • Stay ahead of the curve by researching emerging AI trends and methodologies.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in AI/ML engineering, with a focus on NLP and LLMs.
  • Strong proficiency in Python and deep familiarity with frameworks such as PyTorch, TensorFlow, or JAX.
  • Experience with model deployment tools (e.g., Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of statistical learning, natural language processing, and deep neural networks.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow NLP LLMs Machine Learning Cloud Computing Docker Kubernetes AWS GCP

Ready to Take This Challenge?

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

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