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AI / Machine Learning Engineer – Agentic AI & LLM Systems
AI / Machine Learning Engineer – Agentic AI & LLM SystemsExperis • Santa Rosa, California, United States
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AI / Machine Learning Engineer – Agentic AI & LLM Systems

AI / Machine Learning Engineer – Agentic AI & LLM Systems

Experis • Santa Rosa, California, United States
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AI / Machine Learning Engineer – Agentic AI & LLM Systems

We’re 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 You’ll 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 You’ll 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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