Haystack
← Back to Jobs
Temporary/Casual
Technology
MG

Senior AI Engineer

Magnit GlobalLondon🇬🇧United KingdomPosted 17 Sept 2026

Quick Overview

Salary
£850 - £900/mo
Seniority
Mid Senior
Employment type
Temporary/Casual
Work mode
Hybrid
Location
London, United Kingdom
AWSMLOpsAzureGenerative AILLMPythonStakeholder Management

Job Description

Senior AI Engineer - Generative AI | Financial Services | London

6 month contract | £850 - £900 per day inside IR35

We are looking for an experienced Senior AI Engineer to join a leading global financial services organisation, helping to design and deliver Generative AI applications across the EMEA region.

This is a hands-on engineering role working across GenAI, LLMs, cloud and enterprise technology. You will build production-grade AI solutions, including RAG and agentic AI applications, while working closely with architecture, cloud, engineering and business teams.

Key Responsibilities

  • Design and develop production-ready Generative AI and LLM applications
  • Build RAG pipelines and agentic AI solutions
  • Develop, fine-tune and optimise LLM-based applications
  • Develop solutions using Python and modern GenAI frameworks
  • Develop and implement prompt engineering strategies
  • Integrate LLMs with enterprise applications, APIs and data sources
  • Build and deploy AI solutions within Azure and/or AWS
  • Implement CI/CD and MLOps practices for AI applications
  • Develop and deploy APIs and integration services
  • Monitor and optimise AI application and model performance
  • Work with cloud and architecture teams to ensure solutions are secure, scalable and maintainable
  • Guide development teams through implementation, testing and deployment
  • Provide technical guidance and mentoring to other engineers

Key Skills & Profile

  • Strong Python development experience
  • Hands-on experience building and deploying GenAI/LLM applications
  • Deep expertise in RAG and Prompt Engineering
  • Experience building agentic AI solutions
  • Experience with frameworks such as LangChain, LangGraph and/or Microsoft Agents SDK
  • Strong knowledge of Azure OpenAI and related Azure AI services
  • Experience with CI/CD and MLOps for AI
  • Knowledge of LLM integration patterns including MCP and A2A
  • Experience developing and integrating APIs
  • Exposure to Azure services such as AI Search, Cognitive Services, Cosmos DB, Data Lake, Functions and Container Apps
  • Experience integrating on-premise and cloud environments
  • Strong understanding of Secure by Design principles
  • Strong communication and stakeholder management skills
  • Experience within banking, financial services or another regulated enterprise environment would be highly advantageous

Similar jobs