Agentic AI Systems Engineer

Profile 29; Cheltenham; On-site; GBP 40,000 - 75,000; Full time

Benefits offered by this job

Benefits

Job summary

AI Builder in the United Kingdom is seeking an AI Builder to join the growing team. You will design, build and scale AI and agentic AI systems that solve real-world problems, collaborating with clients and internal teams to understand requirements.

The role includes rapid PoCs, productionising solutions, and balancing speed with engineering quality while exploring new models and tools in a rapidly evolving landscape.

Qualifications

• Experience building AI or agentic AI systems in industry, academia, or personal projects.
• Foundational technical knowledge in math, statistics or computer science.
• Proficiency in Python and wider system design principles.
• Experience with agentic coding tools such as Claude Code or OpenAI Codex.
• Strong system-design judgement and testing/validation mindset.

Responsibilities

• Design, develop, deploy and scale AI and agentic AI systems for clients and internal use.
• Collaborate with service designers, engineers and analysts to frame AI use cases.
• Build rapid PoCs and prototypes to test feasibility and usefulness.
• Productionise AI systems within wider products and platforms.
• Iterate on deployed systems to improve performance, robustness and cost.
• Build solutions using agentic coding tools with strong emphasis on system design.
• Advise on AI strategy, adoption and scaling for clients.
• Contribute to internal R&D and the company AI proposition.
• Support bids and client engagements where AI capability differentiates.
• Stay aware of evolving AI landscape from model to business impact.

Skills

AI/agentic AI systems

Tech fundamentals

Python development

Agentic tools

System design

Tools

Claude Code

OpenAI Codex

Job description

AI Builder in the United Kingdom is seeking an AI Builder to join the growing team. You will design, build and scale AI and agentic AI systems that solve real-world problems, collaborating with clients and internal teams to understand requirements.

The role includes rapid PoCs, productionising solutions, and balancing speed with engineering quality while exploring new models and tools in a rapidly evolving landscape.