About the role
Responsibilities:
- Design, develop, and deliver end-to-end LLM-powered features, retrieval-augmented generation, agentic workflows, prompt engineering, and tool calling using LLM APIs (OpenAI, Anthropic, Gemini) and orchestration frameworks such as LangChain and LangGraph.
- Conduct in-depth analysis of the data and documentation that underpin global trade, identifying the patterns, structures, and edge cases that determine what AI systems can reliably deliver.
- Translate those findings into product capability, defining and scoping new AI features in collaboration with product and the founding team.
- Establish evaluation and monitoring for AI features: define quality metrics, build evaluation sets, diagnose failure modes, and drive improvements in accuracy, reliability, latency, and cost.
- Conduct applied research and structured experimentation across model behaviour, retrieval strategies, and prompting techniques, and assess emerging approaches for production suitability.