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Job Title London (On-site, London Farringdon) Full-time, salary: £60,000-80,000 Job Summary Travtus is looking for an AI Engineer to help design, build, and optimise the core AI platform capabilities that power agent-based products and workflows. This role is focused on platform development. It is responsible for shaping how LLM-powered agents are designed, orchestrated, tested, monitored, and improved in production. The role sits at the intersection of prompt engineering, agent architecture, solution design, and platform capability development. You will define how agents interact with tools, APIs, and downstream services, and help specify the requirements and contracts for the services they depend on. You will work closely with platform engineers , who build the APIs and services consumed by agents, and with product engineers , helping ensure agent capabilities support strong user experience and front-end design. This role also includes working on patterns where prompt outputs are used as code to support interface generation, front-end behaviour, and rapid product iteration. You will also own the LLM and prompt tooling lifecycle, from prompt management through evaluation, testing, and continuous improvement. This is a hands-on senior role for someone who combines deep technical skill with strong systems thinking and a practical approach to building scalable, usable, and production-ready AI capabilities. About Travtus Travtus is transforming the Housing Industry with our Everyday (AI)™ platform. We bring intelligence and automation together in one place so teams can move faster and work smarter. By delivering everyday AI decisions and workflows across the systems operators already use daily, our platform improves efficiency while enhancing the resident experience. About the Role Key Responsibilities 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 The successful applicant will be a natural problem-solver with an affinity for autom