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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
Job Description
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...