Lead Software Engineer Python AI LLM

Company: Client Server
Apply for the Lead Software Engineer Python AI LLM
Location: London
Job Description:

Lead Software Engineer / Developer / Consultant (Python AI LLM) London / WFH to £125k

Are you an experienced Software Engineer with a strong 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 £125k
  • 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 Lead Software Engineer you will architect AI solutions, embed them within enterprise environments and drive impactful outcomes through advanced engineering, scalable pipelines and deep cross‑functional collaboration. This is a highly technical role where you’ll be leading client projects, productionising systems and running multi-modal LLMs, using your expertise to build and deploy cutting‑edge generative AI and agentic systems across the financial services sector.

Location / WFH

There’s a hybrid work from home policy with three days a week in the London City office (or at client sites), you’ll join a friendly, diverse, upbeat team.

About you

  • You have achieved a 2.1 or above bachelor’s degree in Computer Science, AI or related STEM disciplines
  • 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 strong Python coding skills and API development skills
  • 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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Posted: July 2nd, 2026