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Backend Software Engineer Python LLM - Finance
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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
- 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
- Flexible holiday scheme
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
- Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments
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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 bachelor's degree in Computer Science, AI or related STEM disciplines
- You have a strong 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'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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