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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer 2026 - San Francisco

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Dynamics is seeking a visionary Senior AI Engineer to pioneer next-generation autonomous agents and intelligent systems.


As we stand on the precipice of a new era in artificial intelligence, we are looking for a thought leader who can bridge the gap between theoretical research and scalable production engineering. You will work directly with our CTO and product leadership to define the roadmap for our flagship AI platform, focusing on Agentic workflows and Large Language Model (LLM) orchestration.


Why Join Us?

  • Work on cutting-edge AI Agents and frontier models.
  • Competitive salary and equity package.
  • Flexible remote-first policy with a hub in San Francisco.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for real-time inference and high-volume data processing.
  • Research and implement cutting-edge Large Language Model (LLM) fine-tuning, RAG, and prompt engineering strategies.
  • Collaborate with cross-functional product teams to translate complex AI concepts into intuitive user experiences.
  • Optimize model performance, reduce latency, and ensure high availability on cloud infrastructure.
  • Establish and enforce MLOps best practices, including CI/CD for models and automated monitoring.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience designing and deploying production-grade AI systems.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record working with LLMs, Transformers, and advanced NLP architectures.
  • Strong understanding of cloud infrastructure (AWS/GCP) and containerization technologies (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow AWS MLOps Machine Learning Deep Learning NLP Kubernetes

Ready to Take This Challenge?

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