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Senior AI Engineer - Shaping the Future of 2026

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Are you ready to define the landscape of Artificial Intelligence for 2026?

Nexus AI Labs is seeking a visionary Senior AI Engineer to lead the development of next-generation Generative AI solutions. We are not just building models; we are architecting the intelligence that will drive the global economy forward. If you have a passion for pushing the boundaries of what is possible with Deep Learning and Natural Language Processing, we want to meet you.

In this role, you will collaborate with world-class researchers and engineers to build scalable, efficient, and safe AI systems that redefine user experiences. Join us in building the future.

Responsibilities

  • Architect and implement state-of-the-art Large Language Models (LLMs) and transformer-based architectures.
  • Optimize model inference latency and resource utilization to handle high-volume production workloads.
  • Conduct cutting-edge research to improve model accuracy, generalization, and safety parameters.
  • Collaborate with cross-functional teams including Product Managers, Data Scientists, and DevOps engineers.
  • Mentor junior engineers and provide technical guidance on best practices in MLOps and model deployment.
  • Stay at the forefront of AI research to integrate emerging techniques into our core product pipeline.

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 focus on Deep Learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying ML models to production environments using cloud infrastructure (AWS, GCP, or Azure).
  • Deep understanding of NLP, LLMs, and prompt engineering techniques.
  • Experience with distributed training and model serving frameworks.

Required Skills

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

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