Production AI Engineer: LLM Agents for Scalable Trading

Client Server

Greater London

On-site

GBP 120,000 - 150,000

Full time

10 hours ago
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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

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.

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