AI Engineer

• Design and develop AI-powered applications using Generative AI and Large Language Models (LLMs).
• Build and optimise Retrieval-Augmented Generation (RAG) solutions.
• Develop AI Agents and Agentic workflows to automate business processes.
• Create effective prompts and implement prompt engineering best practices.
• Integrate AI services with enterprise systems via REST APIs.
• Develop scalable solutions using Python and SQL.
• Test, evaluate, and improve AI model performance and reliability.
• Work closely with engineering, data, and business teams to deliver innovative AI solutions.

• Commercial experience building Generative AI solutions.
• Strong hands-on experience with RAG (Retrieval-Augmented Generation).
• Experience developing AI Agents or Agentic AI applications.
• Strong Python development skills.
• Strong SQL skills.
• Experience integrating applications using REST APIs.
• Proven prompt engineering experience.
• Experience deploying AI solutions into production environments.
• Excellent stakeholder management and communication skills.

Desirable Experience

• Knowledge Graphs.
• LangChain and/or LangGraph.
• Vector Databases and Embeddings.
• Multi-Agent Systems.
• Azure, AWS or GCP cloud platforms.

Preferred Background

We’re particularly interested in candidates who have worked within:

• Banking
• Financial Services
• FinTech
• Consulting, If you’re passionate about building production-grade AI solutions and have hands-on experience with RAG, AI Agents, Python, and SQL, we’d love to hear from you.