Backend Software Engineer Python LLM - Finance

Client Server Limited

Greater London

Hybrid

GBP 75,000 - 90,000

Full time

6 days ago
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Benefits offered by this job

Pension and Life Assurance
Private medical care
Travel Insurance
Charitable giving
Gym membership

Job summary

Client Server Limited in London is seeking a Backend Software Engineer with strong Python skills, AI/LLM knowledge and experience in MLOps to design autonomous AI systems. You will deploy LLMs and multi-modal models at scale in production, focusing on performance, latency, and robust AI deployments.

You will guide multidisciplinary teams and clients through GenAI adoption while delivering scalable backend services and API development in a finance/tech consultancy context.

Qualifications

  • 2.1 or above BSc degree in Computer Science, AI or related STEM disciplines.
  • Strong backend Python software engineering background including API development.
  • Hands-on experience deploying LLMs and multi-modal models at scale in production.
  • Strong understanding of scalable MLOps, observability and cloud-native AI deployment.
  • Experience within finance or consultancy environments.
  • Collaborative and pragmatic with stakeholder communication and Agile experience.
  • Experience with agentic frameworks and deep learning tooling is advantageous.

Responsibilities

  • Design and develop autonomous AI systems integrating multi-modal LLMs and agentic workflows.
  • Optimize and deploy large language and multi-modal models with a focus on performance and latency.
  • Build scalable MLOps pipelines and full-stack applications for production-grade AI deployments.
  • Guide multidisciplinary teams and clients through AI engineering and GenAI adoption.

Skills

Python
API development
LLMs
MLOps
Cloud deployment

Education

2.1 BSc in Computer Science/AI or related STEM

Tools

LangChain
LlamaIndex
Langfuse
Langsmith
MCP (Model Context Protocol)

Job description

London, Greater London | £75k - £90k per year

Backend Software Engineer / Developer (Python LLM MLOps) London / WFH to £90k

Are you an experienced Backend Software Engineer with strong Python skills and a good knowledge of AI, LLMs and agentic coding?

You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations.

What's in it for you:

  • Salary to £90k + bonus
  • Pension, Life Assurance, Income Protection
  • Private medical care for you and your family, including mental health
  • Travel Insurance
  • Charitable giving
  • Gym membership for you and your family

Your role:

As a Backend Software Engineer you'll design and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video), design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG, optimise and deploy large language and multi-modal models with a focus on performance and latency and build scalable MLOps pipelines and full-stack applications to support robust, production grade AI deployments.

Using a consultative approach, you'll guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption.

About you:

  • You have achieved a 2.1 or above BSc degree in Computer Science, AI or related STEM disciplines
  • You have a strong backend Python software engineering background including and API development
  • You have hands-on experience deploying LLMs and multi-modal models at scale in production
  • You have a strong understanding of scalable MLOps, observability and cloud-native AI deployment
  • You have experience within finance or consultancy environments
  • You're collaborative and pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environments
  • Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques
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