Software Engineer Python Genai Llm - Finance

Client Server Limited; Greater London; On-site; GBP 108,000 - 180,000; Full time

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

Software Engineer / Developer (Python GenAI LLM RAG) London 12 month FTC to £180k

Are you a Senior Software Engineer with a strong knowledge of the capabilities of GenAI?

You could be progressing your career in a hands‑on role at a tech driven, global Asset Manager with multiple billions of dollars under management, on a 12 month Fixed term Contract.

As a Software Engineer you'll join the Investment Technology Research team and work closely with Investment Analysts on a mix of prototyping, evaluation and engineering. The work is interesting and complex, spanning Python development, RAG and retrieval workflows, MCP and tool integrations, model evaluation and the engineering needed to turn promising ideas into reliable internal tools.

You'll be at the intersection of platform engineering, data engineering and developer experience, with a strong emphasis on enabling others. You will work directly with stakeholders and users to identify opportunities, troubleshoot issues and deliver platform capabilities that improve the quality, speed and reliability of analytical functions.

You'll seek continuous improvement and pick new things up on the job as the tech stack evolves.

Location / WFH:

There's a hybrid work from home policy with three days in the London office per week where you'll join a supportive, diverse team environment with a large range of facilities.

About you:

• You have experience within an Investment Management or financial services environment with Front Office experience
• You have advanced skills with Python
• You have experience of building applications using LLMs or other modern GenAI techniques
• You have experience with RAG systems, retrieval design and grounding model outputs,
• You have experience of integrating tools, APIs, LLM SDKs and MCP-style capabilities into GenAI workflows
• You have experience designing or running evaluations for GenAI systems, including working with users to assess output quality
• You have experience using agentic coding tools such as Claude Code, Codex, or similar
• You have strong problem-solving skills, pragmatism and sound judgement around the strengths and limits of LLM-based systems
• You have experience of working with stakeholders and users to understand problems and build effective solutions
• You have achieved a 2.1 or above from a top tier university in a STEM discipline

What's in it for you:

*Please note this role is on a 12 month Fixed Term Contract basis, with full benefits

• Salary to £180k
• Pension
• Private medical insurance including 24 hour GP access
• Enhanced parental leave policy
• 25 days annual leave
• Ongoing training and development and financial support for courses