Design, build, and maintain end-to-end agentic workflows and AI-powered automation systems using tools such as Claude Code, LangChain, CrewAI, or equivalent frameworks
Lead the adoption and optimisation of agentic code generation across the engineering organisation
Architect and implement Retrieval-Augmented Generation (RAG) pipelines and advanced context management strategies
Embed AI capabilities across the entire software development lifecycle, from analysis to deployment and monitoring
Own the deployment, monitoring, and continuous improvement of AI systems in production
Work closely with product managers, engineers, compliance, and operations teams to identify high-impact AI opportunities
Establish best practices for AI engineering within the team.

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related field (or equivalent professional experience)
3+ years of professional/or non-commercial but provable experience in AI/ML engineering, with at least 1 year focused on agentic AI systems or LLM-based application development
Demonstrable experience with end-to-end agentic code generation using Claude Code, Cursor, GitHub Copilot Workspace, or equivalent tools
Proven track record of building and deploying RAG pipelines, context management solutions, and knowledge retrieval systems at scale
Hands-on experience across the full software development lifecycle (SDLC), including deployment and maintenance with AI-assisted tooling, including agentic automations for code generation, testing, review, and deployment
Experience working in fintech, payments, crypto or a regulated financial services environment is strongly preferred
Experience designing and implementing plugin or skill-based architectures for AI agents.

AI Engineer

Key skills