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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Are you ready to architect the future of artificial intelligence?

Nexus Future Systems is looking for a visionary Senior AI Engineer to join our elite Project 2026 team. As we prepare for the next decade of technological evolution, we need a technical expert who can bridge the gap between theoretical research and production-ready systems. You will play a pivotal role in developing autonomous AI agents and next-generation neural networks that will redefine industry standards.

In this high-impact role, you won't just write code; you will define the architectural DNA of our platforms for the years to come. We offer a competitive compensation package, equity options, and the freedom to work on cutting-edge technology in the heart of San Francisco.

Responsibilities

  • Design and implement scalable machine learning pipelines and deep learning architectures tailored for the 2026 technological landscape.
  • Lead the research and development of proprietary AI models, focusing on generative AI, natural language processing, and computer vision.
  • Collaborate with product managers and engineers to translate complex AI capabilities into user-friendly features.
  • Optimize model inference latency and accuracy for deployment on high-volume distributed systems.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay ahead of industry trends, contributing to internal innovation labs and technical documentation.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field (5+ years of experience with a Bachelor’s degree).
  • Extensive experience in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Proven track record of deploying large-scale ML models in production environments.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools and version control systems (Git).
  • Excellent communication skills and the ability to thrive in a fast-paced, collaborative environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Docker Kubernetes AWS NLP Computer Vision SQL Git

Ready to Take This Challenge?

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