GenAI Engineer Python LLM - Finance

Client Server Ltd.; Greater London; Híbrido; GBP 140.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pension

Private medical insurance

25 days annual leave

Training & development

Hybrid work policy

Descripción de la vacante

Client Server Limited in London is seeking a GenAI Engineer / Software Developer (Python LLM RAG) on a 12 month FTC. You will apply advanced Python skills to build GenAI-driven tooling, prototypes and production-ready workflows.

Join the Investment Technology Research team and collaborate with Investment Analysts to design, evaluate and deploy retrieval-augmented systems, APIs and MCP-enabled components. Hybrid work with three days in the office.

Formación

• Experience in Investment Management or financial services.
• Advanced Python development skills.
• Experience building GenAI applications and features.
• Experience with RAG, retrieval design and grounding model outputs.
• Experience integrating APIs, LLM SDKs and MCP-style capabilities.
• Experience evaluating GenAI systems with user feedback.

Responsabilidades

• Prototype, evaluate and engineer GenAI solutions.
• Collaborate with Investment Analysts to identify opportunities.
• Develop and maintain internal GenAI tools and workflows.
• Work with platform and data engineers to improve reliability.

Conocimientos

Python

GenAI / LLMs

RAG systems

APIs / SDKs

Tool integration

Stakeholder engagement

Educación

2.1+ STEM degree

Herramientas

Claude Code

Codex

LLM SDKs

MCP

Descripción del empleo

London, Greater London | £140k - £180k per year

GenAI Engineer / Software Developer (Python 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 GenAI 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
• 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