Applied AI Engineer - Commodities Trading

Client Server; Greater London; On-site; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Salary up to £150k

Benefits package

Job summary

Client Server is seeking an Applied AI Engineer to build production-grade AI systems that automate complex, document-heavy trading processes. You will design AI agents and LLM-powered applications, collaborating with data science, engineering and business teams to deliver reliable, scalable workflows.

The role focuses on testing, observability and robust deployment in a production environment, with a central London office and a typical Monday-to-Friday schedule.

Qualifications

• A 2.1 or above in a STEM discipline from an Oxbridge or Russell Group university.
• 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.
• Strong 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 applications using Docker, AWS and CI/CD.
• Strong testing and engineering practices to make AI systems robust, scalable and production-ready.

Skills

Python engineering

LLM powered apps

Autonomous AI agents

Document processing

RAG & vector databases

Tool calling & agent memory

FastAPI & Pydantic

Async Python & API dev

PydanticAI or agent frameworks

MCP, guardrails, human-in-the-loop

Microservices & CI/CD

Testing & engineering practices

Education

STEM degree (2.1+), Oxbridge or Russell Group

Tools

Docker

AWS

CI/CD tooling

Job description

Do you have expertise with building AI agents and LLM powered applications in production?

You could be progressing your career at one of the world's largest commodity trading businesses as an Applied AI Engineer, building production grade AI systems that are transforming how global commodities trading operates.

The business operates across more than 150 countries and trades across oil, gas, metals, minerals and renewable energy. With significant investment in digital transformation and AI, it's tackling complex engineering challenges at genuine global scale.

This is not a role for someone who has simply experimented with ChatGPT or built a few RAG prototypes. The focus is on taking AI beyond experimentation and engineering reliable, scalable systems that can be trusted in a demanding production environment.

As an Applied AI Engineer you'll build AI agents and LLM powered applications to automate document heavy trading processes, extracting information and insights from large volumes of complex data. Collaborating across data science, engineering and business teams, you'll develop agentic workflows that use tools, APIs, memory and vector databases, with a strong focus on testing, evaluation, observability and reliability.

Location:

You'll join colleagues in the central London office on a full time basis, Monday to Friday.

About You:

• You have achieved a 2.1 or above in a STEM discipline from an Oxbridge or Russel Group university
• You have strong Python engineering skills, with experience building and deploying production grade AI applications
• You have hands-on experience developing LLM powered applications and autonomous or semi-autonomous AI agents
• You have experience with document processing, RAG, tool calling, vector databases and agent memory
• You have a strong knowledge of FastAPI, Pydantic, asynchronous Python and API development
• Experience with PydanticAI or similar agent frameworks
• You have an understanding of MCP, AI guardrails, evaluation frameworks and human-in-the-loop workflows
• You have experience building microservices and deploying applications using Docker, AWS and CI/CD
• You have strong testing and engineering practices, with a focus on making AI systems robust, scalable and production ready

What's in it for you:

• Salary to £150k
• Benefits package