AI Engineer

Role Overview

• Design and develop multi-agent prompts and orchestration patterns
• Define how agents, tools, APIs, services, and platform components interact, including requirements, contracts, and integration patterns
• Work alongside platform engineers to define the APIs and services that agents consume and use
• Work closely with product engineers to support user experience and front-end design, including the use of prompt outputs as code
• Own LLM and prompt tooling across the full lifecycle, from prompt management and versioning through evaluation, testing, and optimisation
• Design requirements for downstream and supporting services that enable agent execution, workflow control, observability, and integration
• Lead the research, evaluation, and selection of frameworks for agent orchestration, tool use, evaluation, observability, and deployment
• Perform model selection based on use case fit, quality, latency, scalability, and cost
• Design and implement tools and function-calling patterns for agent-based systems
• Carry out prompt tuning and iterative optimisation of agent behaviour and output quality
• Monitor, debug, and continuously tune agents in development and production
• Design for performance, scalability, reliability, usability, maintainability, and cost efficiency
• Define and execute testing strategies for LLM agents and platform-level AI workflows
• Integration test agents end to end with other parts of the platform to ensure reliability across workflows, services, and user-facing experiences
• Build proofs of concept and prototypes to validate architectures, frameworks, and new platform capabilities
• Produce end-to-end solution designs for AI platform components and services
• Use AI to improve software development , including prototyping, implementation, testing, debugging, and engineering productivity
• Collaborate across engineering and product teams to translate business and technical goals into robust platform capabilities

Requirements

• Strong experience designing, building, and deploying LLM-based applications or agentic systems
• Demonstrated expertise in prompt engineering , prompt tuning, and structured output design
• Experience designing multi-agent workflows and orchestration logic
• Strong understanding of API design , service integration, and interface contracts
• Experience owning or working with prompt management, evaluation, and testing tooling
• Experience working with or defining requirements for platform services that support AI applications
• Experience evaluating and selecting models, frameworks, and AI tooling
• Practical experience with tool use, function calling, workflow control, and system integration
• Experience defining and implementing testing and evaluation strategies for LLM systems
• Experience with end-to-end and integration testing across complex platform workflows
• Strong understanding of performance optimisation , including latency, throughput, scalability, and cost trade-offs
• Experience monitoring and improving AI systems in production
• Strong software engineering skills and experience building production-grade systems
• Ability to work effectively with both product engineers and platform engineers
• Ability to produce clear solution designs and communicate technical decisions effectively
• Comfortable working across experimentation, architecture, and delivery.

Benefits

• Private Healthcare
• Pension
• Deliveroo Allowance