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
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