At a Glance
- Tasks: Design and optimise AI platforms for agent-based products and workflows.
- Company: Join Travtus, a mission-driven startup transforming the Housing Industry with AI.
- Benefits: Competitive salary, private healthcare, pension, and Deliveroo allowance.
- Other info: Collaborative team culture with opportunities for innovation and growth.
- Why this job: Work with cutting-edge AI tech and make a real impact in a fast-paced environment.
- Qualifications: Experience in LLM applications, prompt engineering, and API design required.
The predicted salary is between 60000 - 80000 £ per year.
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.
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
- 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
Nice to have requirements
- Experience with agent orchestration frameworks and evaluation platforms
- Familiarity with observability, tracing, and monitoring for AI systems
- Experience designing guardrails, controls, and failure handling for AI workflows
- Experience supporting front-end or UX-oriented engineering through AI-assisted design or generation patterns
- Experience with code generation or structured prompt outputs used in software delivery workflows
- Experience with cloud-native or distributed production environments
- Background in solution architecture, or applied AI systems
- Experience using AI to improve internal engineering productivity and delivery
What Success Looks Like
- The AI platform provides a strong, scalable foundation for agent-based products and workflows
- Agents, tools, APIs, and service integrations are reliable, testable, and production-ready
- LLM and prompt tooling supports disciplined prompt management, evaluation, testing, and continuous improvement
- Platform capabilities are designed with strong usability, maintainability, and operational robustness
- Agent outputs support high-quality product experiences, including front-end and UX use cases where appropriate
- Model, prompt, and framework choices are evidence-based and continuously optimised
- Agents are integration tested end to end with the wider platform and perform reliably across real workflows
- New ideas can be rapidly validated through POCs and evolved into durable platform capabilities
- Product engineers and platform engineers can work effectively around clear contracts, services, and orchestration patterns
- AI is used effectively both within the product and to improve software development practices
We are a dedicated team, working in a truly collaborative style, where everyone is heard and brings something valuable to the conversation. Constantly pushing boundaries to create groundbreaking solutions for our customers. We are fundamentally challenging the way one of the largest industries in the world operates, and our commercial success pays testament to the skill, commitment and passion that our team displays every day. Working together in person fuels our best ideas and innovations, which is why all team members spend at least three days a week in our London office.
Benefits
- Be part of a growing, mission-driven startup with global ambitions
- Exposure to cutting-edge AI technology in a practical, high-demand sector
- Collaborative, fast-paced team culture with space to innovate and grow
- Full-time, salary: £60,000-80,000
- On-site working model with a modern London office (Farringdon)
- Private Healthcare
- Pension
- Deliveroo Allowance
Help us shape the future of technology. Apply Now!
AI Engineer in London employer: Travtus
Travtus is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. As an AI Engineer, you will have the opportunity to work with cutting-edge technology while contributing to meaningful projects that transform the housing industry. With a strong focus on employee growth, competitive salary, and benefits like private healthcare and a Deliveroo allowance, Travtus fosters a culture of innovation and teamwork, ensuring that every voice is valued and heard.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, conferences, or even online webinars. You never know who might have a lead on that perfect AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and agent-based systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to AI and prompt engineering. We recommend doing mock interviews with friends or using platforms that offer interview prep. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission-driven team at Travtus.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with LLM-based applications and agentic systems. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Off Your Problem-Solving Skills:In your application, give us examples of how you've tackled complex challenges in AI or automation. We love a good story about overcoming obstacles, especially if it involves prompt engineering or system integration!
Be Clear and Concise:When writing your cover letter, keep it straightforward and to the point. We appreciate clarity, so make sure you communicate your technical expertise and how it relates to our needs without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Travtus
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM-based applications and agentic systems. Be ready to discuss your experience with prompt engineering and multi-agent workflows, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous projects. Travtus is looking for natural problem-solvers, so highlight your ability to automate processes and improve efficiency using AI-driven solutions.
✨Understand the Tech Stack
Familiarise yourself with API design, service integration, and testing strategies for LLM systems. Being able to discuss how you’ve worked with platform services and defined requirements will set you apart from other candidates.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical team members can understand. Since collaboration is key at Travtus, demonstrating your communication skills will show that you can work effectively across teams.
