Backend Python AI Engineer (LLMs) – Finance (Hybrid/WFH)

Client Server Limited; Greater London; Hybrid; GBP 75,000 - 90,000; Full time

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

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.