AI Engineer - Agentic Systems

About The Role

As an AI Engineer, you will serve as a technical authority embedded within high-performing product and domain squads. You will transcend the boundary between data science and software engineering to design, build, evaluate, and scale robust, secure, and clear AI-enabled systems. Your daily mission will focus on taking advanced AI capabilities (including LLMs and complex agentic workflows) out of the lab and into repeatable, enterprise-grade production.

What's in it for you

• Enterprise Impact: Shape the technical culture, architecture, and evaluation frameworks of a tier-one financial institution's AI capability.
• Modern Stack: Work with advanced Generative AI, agent reasoning loops, RAG pipelines, and automated evaluation.
• Cooperative Culture: Partner closely with talented AI specialists, domain experts, and product managers in an environment that prioritises innovation and customer focus.

Key Responsibilites

• Agentic System Development: Implement agent reasoning loops, tool use interfaces, memory systems, context management, and orchestration architecture.
• Production-Grade Delivery: Translate sophisticated architectural designs into robust, tested, cloud code.
• Prompt & Context Engineering: Design advanced prompting strategies, retrieval pipelines (RAG), and context assembly to ensure highly reliable agent behaviour.
• Responsible AI Alignment: Ensure all AI behaviours are clear, auditable, and strictly aligned with enterprise ethical and safety standards.
• Rapid Experimentation: Test hypotheses regarding agent design, critically reviewing empirical data to inform long-term architectural pathways.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.