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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer | 2026 Tech Visionary | San Francisco

Nexus AI Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the technological infrastructure for the year 2026. Nexus AI Systems is seeking a visionary Senior AI Engineer to spearhead the development of next-generation Large Language Models and generative systems. If you are obsessed with the future of AI and want to define the standard for the next era of computing, this is your chance.

Role Overview

In this high-impact role, you will lead the design and implementation of proprietary AI models that power our enterprise solutions. You will bridge the gap between theoretical research and production-grade software, ensuring our systems are scalable, efficient, and revolutionary.

Key Highlights

  • Lead the architecture for 2026-ready AI infrastructure.
  • Collaborate with world-class researchers and product teams.
  • Work with state-of-the-art hardware (GPUs/TPUs) and cloud ecosystems.

Join us in shaping the future of intelligent automation.

Responsibilities

  • Design and train large-scale transformer models (BERT, GPT, LLaMA architectures) using PyTorch and TensorFlow.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
  • Implement rigorous model evaluation frameworks and monitor production model performance in real-time.
  • Conduct research on novel deep learning techniques to stay ahead of industry trends.
  • Collaborate with security teams to ensure AI safety, ethics, and compliance.
  • Optimize inference latency and cost-efficiency for large-scale deployments.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in machine learning engineering, with at least 2 years leading AI model development.
  • Deep understanding of NLP, deep learning, and neural network architectures.
  • Strong proficiency in Python, C++, and distributed systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-ready AI models.

Required Skills

Python PyTorch TensorFlow Large Language Models Machine Learning NLP AWS GCP Docker Kubernetes AI Safety

Ready to Take This Challenge?

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

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