AI Engineer

We're partnered with a Series A startup creating a new category of AI software that helps companies automate operations by capturing and operationalising their institutional knowledge. The team is engineering-led, with a culture built on technical rigor, ownership, and sustainable impact.

This role sits at the intersection of applied AI research and production engineering - a role that is ideal for builders who want to push the boundaries of what's possible with LLMs while shipping real systems that customers depend on.

The Opportunity:

As AI Engineer, you'll be responsible for the design and deployment of LLM-powered systems that solve genuine operational challenges. Your work will span the full development cycle: from prototyping and experimentation to production deployment, monitoring, and continuous improvement.

You'll need to be versatile - you might be refining an evaluation harness; the next, scaling async workflows or investigating why an agent made an unexpected decision in production.

Responsibilities:

• Design and implement LLM-based systems and agentic workflows that solve real customer problems
• Build robust evaluation frameworks to measure, track, and improve model behavior
• Develop scalable asynchronous systems for AI orchestration and task execution
• Work on RAG pipelines, multi-agent architectures, and production LLM infrastructure
• Collaborate across engineering, research, and product to define what gets built
• Shape AI strategy and contribute to long-term technical direction

About You:

• Proven experience building and shipping production AI systems (not just prototypes)
• Strong foundations in machine learning and deep learning principles
• Hands-on experience with LLMs, agents, RAG systems, or large-scale inference pipelines
• Comfort moving between research papers and production codebases
• Natural curiosity, strong sense of ownership, and drive for continuous improvement

Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs.