ROLE & RESPONSIBILITIES

• Lead design and delivery of end-to-end AI solutions including classical machine learning models, large‑language‑model pipelines, retrieval‑augmented generation systems, and multi‑agent orchestration.
• Provide architectural consultation for agentic systems, advising on tool‑calling patterns, agent‑to‑agent coordination (A2A), memory design, and human‑in‑the‑loop workflows.
• Design context windows, prompt strategies, and contextual compression techniques to optimise LLM relevance and cost.
• Implement document intelligence solutions leveraging embeddings, vector stores, and hybrid retrieval strategies.
• Architect and build agentic systems: tool‑calling architectures, multi‑agent workflows, agent memory, and human‑in‑the‑loop pathways.

QUALIFICATIONS/EXPERIENCE

• Bachelor’s degree in Computer Science, Data Science, Mathematics or equivalent experience, with a strong background in...