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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Generative Intelligence

Nexus Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco. As a pioneer in the field of Generative Intelligence, you will be responsible for architecting the next generation of Large Language Models (LLMs) that power our global platform. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence and want to work in a dynamic, high-growth environment, we want to hear from you.


Why Join Nexus Core?
We are backed by top-tier VC firms and are scaling rapidly to redefine the future of enterprise automation. You will have the autonomy to choose your tech stack, the resources to build world-class infrastructure, and the impact to shape how millions interact with AI.

Responsibilities

  • Design, train, and deploy state-of-the-art Machine Learning models, with a focus on NLP and LLMs.
  • Optimize inference pipelines for high-scale production environments to ensure sub-millisecond latency.
  • Collaborate with product managers and designers to integrate advanced AI features into our consumer-facing applications.
  • Conduct cutting-edge research to stay ahead of industry trends and implement novel architectures.
  • Review code and provide technical mentorship to junior engineers, fostering a culture of excellence.

Qualifications

  • 5+ years of professional experience in AI, Machine Learning, or Deep Learning.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • Proven track record of shipping production-ready AI products to market.

Required Skills

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

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