loveholidays
More roles at loveholidaysApplied AI Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · London
Employer listed it 2 weeks ago · Added 12 days ago
Been open since 2 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · London
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around London, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "London, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a nice-to-have
- “Familiarity with Google ADK or similar frameworks is desirable.”
Questions worth asking: Nomaders interpretation
- This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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
Requirements
- ·SaaS Administration: Experience administering cloud-based business systems, including configuration, user access, environments, integrations, release management and vendor support.
- ·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
Benefits
- ·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
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at loveholidays, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 13d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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Pay not stated · You'll be taken to the employer's careers page.