AI Engineer

The Full Stack Developer position with Job DescriptionRole SummaryWe centres on design and build LLM‑driven agents to support planning, optimization, and decision‑making workflows. It would suit someone who can bring technical problem-solving, documentation, and careful delivery to the role.

Where ownership sits

Design and build LLM‑driven agents to support planning, optimization, and decision‑making workflows. What Success Looks Like (6–12 Months)AI agents are shipping as core product capabilities, not experiments.

What helps the work land well

careful practical judgement. Strong professional approach.

What the role depends on

• Hands‑on experience with:LLMs and modern AI toolingRAG systems, embeddings, vector searchAgentic patterns (tools, planners, evaluators).
• Experience productionising ML/AI systems (monitoring, failure modes, iteration).
• Experience with logistics, optimization, or simulation‑heavy domains.

Practical details

• Build end‑to‑end product features spanning:Backend services (Python / TypeScript)APIs (REST / GraphQL / FastAPI)Frontend experiences (React).
• Own services in production: performance, reliability, observability, and cost.
• Product teams can move faster because AI systems are observable, testable, and trusted.
• Engineering quality improves without slowing delivery.

Requirements mentioned

• JavaScript