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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Vision

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

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI Engineer to architect the next generation of Generative AI solutions. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and Agentic workflows, this is your opportunity to lead high-impact projects that will shape the future.

Join a team of world-class engineers and researchers dedicated to creating AI that is not only powerful but also safe, ethical, and scalable.

Responsibilities

  • Architect Next-Gen AI Models: Design, train, and deploy state-of-the-art Generative AI models tailored for enterprise scalability.
  • Optimize Inference Pipelines: Enhance model performance and reduce latency to ensure real-time AI interactions.
  • Develop Agentic Workflows: Build autonomous AI agents capable of complex reasoning and autonomous task execution.
  • Collaborate on Ethical AI: Implement fairness, accountability, and transparency standards in AI development.
  • Mentor Junior Engineers: Foster a culture of innovation and technical excellence within the engineering team.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering with a focus on Deep Learning and NLP.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed training frameworks.
  • Model Optimization: Strong background in model quantization, pruning, and deployment strategies (vLLM, ONNX).
  • Communication: Exceptional ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Generative AI Kubernetes Docker AWS GCP

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