AI Engineer

• Agentic AI Development: Design, build, and maintain end-to-end agentic workflows and AI-powered automation systems
• Agentic Code Generation: Lead the adoption and optimisation of agentic code generation across the engineering organisation
• Context Management and RAG: Architect and implement Retrieval-Augmented Generation (RAG) pipelines and advanced context management strategies
• Full SDLC AI Integration: Embed AI capabilities across the entire software development lifecycle
• Fintech Domain Application: Apply AI to core fintech features driving new value creation for customers and optimizations
• Production AI Systems: Own the deployment, monitoring, and continuous improvement of AI systems in production
• Cross-Functional Collaboration: Work closely with product managers, engineers, compliance, and operations teams
• Knowledge Sharing and Mentorship: 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
• 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
• Expert proficiency in Python, Node.js
• Deep working knowledge of LLM APIs and frameworks: Anthropic Claude API, OpenAI API, LangChain, LlamaIndex, CrewAI, AutoGen, or equivalent
• Hands-on experience with agentic frameworks and orchestration patterns
• Strong experience with RAG architectures, vector databases, embedding models, and retrieval strategies
• Proficiency with cloud platforms (AWS and/or GCP), containerisation (Docker, Kubernetes), and CI/CD pipelines (GitHub Actions)
• Experience with prompt engineering, evaluation frameworks, and AI safety/guardrail implementation
• Familiarity with payments infrastructure, messaging standards (ISO 20022, SWIFT), and fintech APIs
• Understanding of compliance-relevant AI considerations: data privacy (GDPR), auditability, explainability, and PCI-DSS requirements for AI systems handling financial data

Additional experience with Rust, Go is a strong plus