Applied AI Engineer - Commodities Trading

As an Applied AI Engineer in a leading commodity trading group, you design production-grade AI systems that scale in a global, data-heavy domain. You build AI agents and LLM-powered applications to automate complex trading processes, collaborating across data science, engineering and business teams. You will focus on reliability, testing and observability to bring AI from prototype to production. This role offers meaningful impact in transforming how trading operations run at scale.

• Salary to 150k
• Significant Bonus
• Benefits package
• Continuous career development

• build AI agents and LLM-powered applications to automate document-heavy trading processes
• develop agentic workflows using tools, APIs, memory and vector databases
• prioritize testing, evaluation, observability and reliability in production systems
• collaborate with data science, engineering and business teams
• design and deploy production-grade AI systems with robust guardrails and human-in-the-loop workflows

• strong Python engineering skills with production-grade AI applications
• hands-on experience developing LLM-powered applications and autonomous or semi-autonomous AI agents
• experience with document processing, RAG, tool calling, vector databases and agent memory
• knowledge of FastAPI, Pydantic, asynchronous Python and API development
• experience with PydanticAI or similar agent frameworks
• understanding of MCP, AI guardrails, evaluation frameworks and human-in-the-loop workflows
• experience building microservices and deploying with Docker, AWS and CI/CD
• strong testing and engineering practices for robust, scalable, production-ready AI systems

• cross-functional collaboration
• attention to testing and quality
• strong communication
• LLM-powered applications
• RAG
• tool calling