At a Glance
- Tasks: Design and optimise AI platform capabilities for agent-based products.
- 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 a Senior AI Platform 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 platform engineering, 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
About the Team
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 Platform Engineer in London employer: Travtus
Travtus is an exceptional employer, offering a dynamic and collaborative work culture that thrives on innovation and teamwork. Located in the heart of London, our modern office fosters creativity and engagement, while our commitment to employee growth ensures that you will be at the forefront of cutting-edge AI technology. With competitive salaries, private healthcare, and a focus on meaningful contributions, we empower our team to shape the future of the housing industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech scene. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and agent-based systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI platforms and be ready to discuss your past experiences in detail. 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 by the right people. Plus, it shows you’re genuinely interested in joining our team at Travtus.
We think you need these skills to ace AI Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Platform Engineer role. Highlight your experience with LLM-based applications and prompt engineering, as these are key aspects of the job. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Be sure to mention any relevant projects or experiences that showcase your problem-solving skills.
Showcase Your Technical Skills:In your application, don't forget to highlight your technical skills, especially around API design and service integration. We love seeing practical examples of how you've built scalable systems or improved workflows in previous roles.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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 key aspects of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in automation and efficiency. Travtus values natural problem-solvers, so be ready to share how you've tackled challenges in past projects.
✨Understand the Tech Stack
Familiarise yourself with API design, service integration, and testing strategies for AI systems. Being able to discuss how you’ve implemented these in previous roles will show you’re a great fit for their tech environment.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to collaborate with both technical and non-technical teams, so being able to communicate effectively is crucial for success in this role.
