AI Engineer

Overview

In this hands-on role you’ll own AI agents end-to-end, from mapping real-world workflows to running in production. You’ll work with data scientists, product managers, and operators to build dependable, safe agents that scale with business needs. You’ll balance rule-based and LLM-driven approaches, ensure observable performance, and implement guardrails for autonomous decision-making. The role combines architecture, delivery, and operating discipline to drive revenue through trusted AI automation. You’ll contribute directly to how agents shape lead generation and advertising workflows.

Pay / Benefits

• Summer Fridays
• 25 days holiday + 8 bank holidays (increases up to 30)
• Hybrid working – 3 days in the office
• Extra Christmas holidays
• Work from anywhere for 2 weeks
• Life Assurance and Income Protection

Responsibilities

• Design and build agents starting from actual operator workflows
• Implement shared, versioned rules and tools for agents
• Integrate agents with data warehouse, internal services, and business APIs
• Produce structured outputs with validation and clear logic
• Log decisions with context and override/approval data for evaluation
• Implement progression from recommendation to autonomous action with guardrails
• Enforce permissions and guardrails in code on the shared framework
• Test agent behaviour with defined datasets and expert validation
• Operate and monitor shipped agents with tracing, failure handling, and cost/latency tracking

Key requirements

• 3+ years of engineering with at least one shipped LLM application or agent
• Proficiency in Python and TypeScript with typed, tested code
• LLM engineering skills: tool calling, structured outputs, context management, evaluation
• Experience with SQL, HTTP APIs, containers, CI/CD, and cloud platforms
• Debugging from logs and traces

• Commercial impact orientation
• Candour and proactive communication
• Delivery ownership and accountability
• LLM agents and tool integration
• Agent behaviour evaluation on test sets
• System design for reliable AI-enabled workflows

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