ROLE & RESPONSIBILITIES:

Lead design and delivery of end-to-end AI solutions including classical ML models, LLM pipelines, RAG
systems, and multi-agent orchestration.
Provide architectural consultation for agentic systems, advising on tool-calling patterns, 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 strong
background in mathematics and analytical problem solvin...