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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

Nexus Core Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 225.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Join the Future of Intelligence

Nexus Core Technologies is pioneering the next generation of generative AI infrastructure. As we approach the critical launch of our flagship Project 2026 platform, we are seeking a visionary Senior AI Engineer to architect scalable, high-performance neural networks.

As part of our elite engineering team, you will be responsible for pushing the boundaries of machine learning models, optimizing deep learning pipelines, and ensuring our solutions are robust, secure, and ready for global deployment. If you are passionate about the future of AI and want to leave a lasting legacy in the tech landscape, this is your opportunity.

What You Will Do

We are looking for a leader who can bridge the gap between theoretical research and production-grade software. Your work will directly influence the capabilities of the 2026 ecosystem.

Responsibilities

  • Architect and implement state-of-the-art machine learning models for the Project 2026 platform.
  • Optimize neural network inference and training pipelines to reduce latency and improve throughput.
  • Lead code reviews and mentor junior engineers on best practices in AI/ML and software engineering.
  • Collaborate with data scientists and product managers to define technical requirements and roadmaps.
  • Ensure system scalability, security, and fault tolerance in distributed environments.
  • Research and integrate cutting-edge advancements in LLMs and generative AI architectures.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning algorithms.
  • Proven track record of shipping production-level AI applications.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS Kubernetes Docker System Design

Ready to Take This Challenge?

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