Applied AI Engineer
At a glance
Mid-level AI Engineering role at loveholidays. London · full-time · no salary stated · we estimate £77,500–£137,500.
loveholidays has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Set up and maintain SaaS and AI services, handling configuration, access, integrations, environments and platform lifecycles
- Connect models, tools, business data, APIs and SaaS systems through agent workflows and automation pipelines
- Build and test tool-using agents with Google ADK or comparable frameworks, then refine their behavior
- Track service health, usage, cost and performance; evaluate changes and investigate incidents to improve reliability
- Turn business needs into platform setups and integrations, documenting dependencies, runbooks and secure change processes
What you bring
- You have administered cloud business software, including user permissions, integrations, releases and vendor support
- You have built AI workflows using models, tools and business data, with orchestration, retrieval and evaluation
- You know REST APIs, webhooks and event-based or scheduled pipelines for linking services and backend systems
- You bring familiarity with cloud operations, ideally Google Cloud, alongside CI/CD, monitoring and secure incident practices
Who this fits
This mid-level role suits someone who can combine hands-on SaaS administration with applied AI workflow development and production operations. You’ll work with business teams and technical partners, report to the Lead Applied AI Engineer, and join a hybrid team in London.
From the employer
Why loveholidays?
We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway.
Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.
The difference you’ll make:
You’ll sit in the Applied AI who are part of the wider AI Centre of Excellence reporting to the Lead Applied AI Engineer. You’ll work closely with our business verticals, engineering, security, vendors and business stakeholders to build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues.
Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. You’ll contribute to production services from day one, developing your skills while improving reliability, automation and operational outcomes.
The team sits within Business IT & AI Operations, providing the technical expertise, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively.
Your day-to-day:
Administer and continuously improve a rangeSaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management.
Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems.
Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations.
Monitor service health, usage, cost and performance; lead testing, evaluation and incident triage to improve reliability and prevent recurring issues.
Partner with product, engineering, security, vendors and business teams to translate needs into effective platform configurations, integrations and automations.
Document configurations, dependencies and runbooks, applying secure change-management, governance and operational practices.
Your skillset:
SaaS Administration: Experience administering cloud-based business systems, including configuration, user access, environments, integrations, release management and vendor support.
Applied AI & Agentic Workflows: Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Familiarity with Google ADK or similar frameworks is desirable.
API & Data Integration: Strong knowledge of REST APIs, webhooks and event-driven or scheduled pipelines for connecting SaaS platforms, AI services and backend systems.
Familiarity with cloud environments, preferably Google Cloud Platform, CI/CD, observability, incident management and secure operational practices.
The interview journey:
Intro with a member of the Talent Acquisition team - 30 mins
1st stage video interview with Lead Applied AI Engineer - 1 hour
Applied AI and SaaS administration task
Final stage with Director of Applied AI and senior stakeholders - 1 hour
Perks of joining us:
Company pension contributions at 5%
Individualised training budget for you to learn on the job and level yourself up
Discounted holidays for you, your family and friends
25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum
Ability to buy and sell annual leave
Cycle to work scheme, season ticket loan and eye care vouchers
Our commitment to inclusion:
At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions.
As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.