Overview
This role is ideal for a back-end engineer experienced in building secure, scalable AI systems in regulated environments. You’ll design and deploy production-grade AI services-such as LLM APIs, RAG pipelines, and agentic workflows-while embedding security, compliance, and data governance at every layer.
Client Details
The employer is a large organisation within the financial services industry, known for its focus on innovation and technology. They are committed to delivering cutting-edge solutions to meet the needs of their clients and stakeholders.
Description
- Architect, develop, and deploy secure AI services and APIs in production
- Build intelligent back-end systems that integrate LLMs, RAG pipelines, and agentic workflows
- Embed cybersecurity, data privacy, and auditability into every stage of the AI lifecycle
- Work directly with security, compliance, and cloud engineering teams to align with regulatory standards
- Implement Model Context Protocol (MCP) for managing secure and traceable LLM context injections
- Integrate with enterprise identity systems and enforce role-based access controls
- Conduct code reviews, pen-test remediation, and support audits (FCA, PRA)
Profile
- Delivering production-grade AI systems from the ground up
- Building secure APIs for LLMs, RAG, and agentic workflows
- Implementing AI pipelines with robust data governance, masking, and DLP
- Working directly with cybersecurity and compliance teams in regulated environments
- Designed and managed AI lab environments using IaC, containerisation, and secure networking practices
- Complying with frameworks like ISO 27001, NIST, SOC 2, or EU AI Act
Job Offer
- 6 month contract (initially)
- Competitive daily rate of £700-£900, inside IR35.
- Office based in London (Liverpool Street) – 2/3 days onsite
- Opportunity to work on innovative AI projects in the financial services industry.
