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Backend Software Engineer Python LLM - Finance

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Summary

Backend Software Engineer in London designing autonomous AI systems for finance: integrating multi-modal LLMs, building agentic workflows with RAG and prompt engineering, optimising model deployment for latency, and constructing MLOps pipelines and production Python applications while advising teams and clients on GenAI adoption.

Overview

As a Backend Software Engineer, you will design and build autonomous AI systems that integrate multi-modal LLMs, and create agentic workflows to enable AI agents to interact with data sources and APIs. You will optimise and deploy LLMs and multi-modal models with a focus on performance and latency, and construct scalable MLOps pipelines and production-ready full‑stack applications. You’ll guide multidisciplinary teams and clients in AI engineering and GenAI adoption, contributing to transformative finance tech solutions.

Pay / Benefits
  • Salary up to 90k + bonus
  • Pension
  • Life Assurance
  • Income Protection
  • Private medical care for you and family, including mental health
  • Travel Insurance for you and family? (inferred)
Responsibilities
  • Design and develop autonomous AI systems with multi-modal LLMs
  • Create agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG
  • Optimize and deploy LLMs and multi-modal models for performance and latency
  • Build scalable MLOps pipelines and production‑grade full‑stack applications
  • Provide consultative guidance to teams and clients on AI engineering and GenAI adoption
Key requirements
  • BSc in Computer Science, AI or related STEM disciplines with 2:1 or higher
  • strong backend Python with API development experience
  • hands-on experience deploying LLMs and multi-modal models at scale
  • strong understanding of scalable MLOps, observability and cloud-native AI deployment
  • experience in finance or consultancy environments
  • collaborative, pragmatic with advanced stakeholder communication in Agile environments
  • collaborative
  • problem-solving
  • stakeholder communication
  • Python backend development
  • API design and development
  • LLM deployment at scale

Skills

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See also

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