Backend Software Engineer Python Llm - Finance

Client Server; Greater London; Hybrid; GBP 81,000 - 99,000; Full time

Benefits offered by this job

Pension

Life Assurance

Income Protection

Private medical care for you and your/

Job summary

Client Server Limited is seeking a Backend Software Engineer with Python expertise and a focus on LLMs and MLOps. The role is based in London with remote work options, offering involvement with autonomous AI systems and multi-modal models.

You will design, deploy and optimise AI pipelines, collaborating with finance technology teams and clients to drive GenAI adoption in production environments.

Qualifications

• 2.1+ BSc in Computer Science, AI or related STEM.
• Strong Python backend software engineering experience including API development.
• Hands-on experience deploying LLMs and multi-modal models at scale.
• Understanding of scalable MLOps, observability and cloud-native AI deployment.
• Experience in finance or consultancy environments.
• Collaborative, pragmatic with stakeholder communication in Agile environments.
• Experience with agentic frameworks and DL tools is advantageous.

Responsibilities

• Design and develop autonomous AI systems integrating multi-modal LLMs.
• Design agentic workflows enabling AI agents to interact with data sources and APIs.
• Optimize and deploy large language and multi-modal models with a focus on performance and latency.
• Build scalable MLOps pipelines and full-stack applications to support robust, production-grade deployments.
• Guide multidisciplinary teams and clients through AI engineering decisions.

Skills

Backend Python

APIs

Agile teamwork

Stakeholder communication

Performance optimisation

Education

BSc in Computer Science, AI or related STEM

Tools

LangChain

LlamaIndex

Langfuse

Langsmith

MCP

Cloud-native deployment

Job description

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