GenAI & Python LLM Engineer — RAG & Retrieval Tools | Hybrid London

Client Server Limited

Greater London

Hybrid

GBP 108,000 - 180,000

Full time

13 days ago

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Benefits offered by this job

Pension
Private medical insurance
24 hour GP access
Enhanced parental leave policy
25 days annual leave
Ongoing training and development
Financial support for courses

Job summary

Client Server Limited in London seeks a Senior Software Engineer to work on GenAI, LLM-based RAG workflows and MCP-style integrations. You will prototype and engineer GenAI capabilities, collaborating with Investment Analysts on internal tools.

The role is hybrid with three days in the office, offering a 12‑month fixed-term contract and a salary up to £180k. Strong Python and GenAI experience are required.

Qualifications

  • Experience in Investment Management or financial services with Front Office exposure.
  • Advanced Python skills and GenAI development experience.
  • Proven ability to build GenAI apps and RAG workflows.
  • Experience integrating APIs and LLM SDKs into workflows.
  • Experience evaluating GenAI outputs with users.
  • Experience with agentic coding tools like Claude Code or Codex.
  • STEM degree with 2.1+ from a top-tier university.

Responsibilities

  • Prototype, evaluate and engineer GenAI workflows and RAG systems.
  • Collaborate with Investment Analysts to turn ideas into internal tools.
  • Design and run user-driven evaluations of GenAI systems and grounding.

Skills

Python
GenAI
LLM usage
RAG systems
Stakeholder collaboration
Problem solving
STEM degree awareness

Education

STEM degree with 2.1+

Tools

Claude Code
Codex
LLM SDKs

Job description

Client Server Limited in London seeks a Senior Software Engineer to work on GenAI, LLM-based RAG workflows and MCP-style integrations. You will prototype and engineer GenAI capabilities, collaborating with Investment Analysts on internal tools.

The role is hybrid with three days in the office, offering a 12‑month fixed-term contract and a salary up to £180k. Strong Python and GenAI experience are required.

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