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AI / Machine Learning Engineer Agentic AI & LLM Systems (San Jose)
AI / Machine Learning Engineer Agentic AI & LLM Systems (San Jose)Experis • San Jose, CA, United States
AI / Machine Learning Engineer Agentic AI & LLM Systems (San Jose)

AI / Machine Learning Engineer Agentic AI & LLM Systems (San Jose)

Experis • San Jose, CA, United States
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AI / Machine Learning Engineer Agentic AI & LLM Systems

Were partnered with a pioneering AI organisation pushing the boundaries of Agentic AI building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes.

Designing the frameworks, tools, and data loops that allow intelligent agents to think, plan, and improve themselves transforming raw model power into adaptive, high-performing AI systems.

What Youll Do :

  • Build Agentic Systems Develop and optimise LLM-based agents that can reason, plan, and execute multi-step tasks autonomously.
  • Enhance LLM Reasoning Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and contextual understanding.
  • Design Scalable Frameworks Create data pipelines, annotation tools, and evaluation flywheels that accelerate model iteration and feedback loops.
  • Collaborate with Research Teams Translate experimental findings into production-grade systems that extend the autonomy and reliability of agents.
  • Run Experiments End-to-End Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation.

What Youll Bring :

  • 4+ years experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI.
  • Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow .
  • Hands-on experience developing or fine-tuning LLaMA , GPT , or similar foundation models.
  • Understanding of agentic architectures , chain-of-thought reasoning, and memory / reflection mechanisms.
  • Proven ability to debug, optimise, and scale ML experiments and compute pipelines.
  • MSc or PhD in AI, Computer Science, or related field .
  • Please apply for immediate consideration.

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