AI Engineer

We Love AI Jobs; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

Travtus is seeking an AI Engineer to design, build, and optimise the core AI platform capabilities powering agent-based products and workflows. You will shape how LLM-powered agents are designed, orchestrated, tested, and improved in production, and specify interactions with tools, APIs, and downstream services.

You will own the LLM and prompt tooling lifecycle from management to evaluation and continuous improvement, working with platform and product engineers to deliver scalable, usable AI

Qualifications

• Expertise in building and deploying LLM-based workflows.
• Strong background in prompt engineering and evaluation.
• Experience with agent orchestration, tool integrations, and platform design.

Responsibilities

• Design multi-agent prompts and orchestration patterns for production workflows.
• Own prompt tooling, evaluation, testing, and optimization across the LLM lifecycle.
• Monitor, debug, and improve agents and AI workflows in development and production.
• Define APIs, contracts, and integration patterns for agents, tools, and services.
• Lead research and selection of frameworks for orchestration, observability, and deployment.
• Carry out model selection and implement tool-calling patterns for agent-based systems.

Skills

LLM application

Prompt engineering

Multi-agent orchestration

API design

Function calling

LLM evaluation

Observability/Monitoring

Model selection

Job description

# AI EngineerTravtusLondon, United Kingdom (Hybrid)Full-timeUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThe AI Engineer builds and improves the platform capabilities behind Travtus’s agent-based products and workflows. The role designs agent orchestration, tool and API integrations, and the testing and monitoring processes needed to run AI systems in production.* Permanent* On-site* Senior### Skills and expertiseLLM application developmentPrompt engineeringMulti-agent orchestrationAPI designFunction callingLLM evaluation and testingObservability and monitoringModel selection### Key responsibilities* Design multi-agent prompts, orchestration patterns, and tool integrations for production workflows.* Own prompt tooling, evaluation, testing, and optimization across the LLM lifecycle.* Monitor, debug, and improve agents and AI workflows in development and production.## How this job comparesCompared with 410 open senior machine learning jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 410 open senior machine learning jobs at 176 companies.Remote work: This job is hybrid. 90 of the 410 senior machine learning jobs (22%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. Building and operating LLM-based applications and agentic systems is the core of the role. The posting calls for designing prompts and orchestration, evaluating models, and monitoring production agents.## Full descriptionJob TitleLondon (On-site, London Farringdon)Full-time, salary: £60,000-80,000Job SummaryTravtus 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 TravtusTravtus is transforming the Housing Industry with our Everyday (AI)TM 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 RoleKey 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