Job Details

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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Software Development