Senior Applied AI Engineer
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Job Summary
About Pleo
Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved not just finance. At Pleo were changing that. We build spend solutions that make managing money seamless empowering and surprisingly effective for finance teams and employees alike - with a vision to help all businesses go beyond.
The word Pleo actually means more than youd expect and living by that mantra has been the secret to our success over the last 10 years.
Now were at a pivotal moment in our journey; every move we make has a direct impact on our 40000 customers our business and our collective success. We need people who take pride in uncovering customer needs who turn complex problems into simple solutions challenge the way things are done (respectfully) and always aim high. With great ambitions driving us forward we cant say weve got this whole thing figured out. And frankly thats half the fun! What we can say is that were a driven progressive and importantly a kind bunch of 850 people from over 100 nationalities all committed to delivering the future of business spending together.
About the role
This is an exciting opportunity to help shape how Pleo builds AI-powered product features working alongside software engineers data engineers and data scientists to take ideas from prototype to production. Pleo has over 40000 customers and a decade of unique spend data an incredible foundation to build on. Your mission will be to harness this data to create real product value.
Who youll be working with and reporting to
Youll be reporting to the Senior Manager for Data & AI Products and will be one of the first hires in the team but rest assured you will not be working solo! You will work very closely with other Engineers and Data Scientists each bringing distinctive skills while you bring applied AI engineering and data context. Together the team covers the full chain from data to shipped product.
Your core focus is on building and shipping AI-powered features with a strong collaborative element across Product Engineering AI Platform and Data & ML Platform teams.
What youll be doing
As a Senior Applied AI Engineer you will:
Build and ship AI-powered product features for Pleos customers owning outcomes end-to-end for a scoped area.
Design and build end-to-end RAG systems for specific product use cases: chunking strategies embedding model selection retrieval optimisation and quality evaluation.
Own the full AI-product lifecycle: prompt design context and state management agentic loops output parsing edge case handling and safe production deployment.
Build evaluation datasets and automated eval pipelines that give the team confidence in AI feature quality before and after changes.
Instrument AI features for production observability: logging drift detection quality monitoring and alerting.
Collaborate with Product and Design to scope AI features from first principles; you are a co-author of what gets built not just an implementer of specs.
Partner with our GenAI Platform team to identify infrastructure needs and champion adoption of platform tooling.
Support other engineers through reviews pairing and pragmatic technical leadership on the projects you lead.
What you bring
You will thrive in this role if you have:
Proven experience shipping customer-facing AI features using LLMs; beyond prototype stage and into real production systems with real users.
Deep practical experience with RAG system design and the full retrieval pipeline: embedding models vector databases chunking hybrid search re-ranking.
Experience building and operating evaluation frameworks for LLM-based systems; you have a systematic approach to measuring quality.
Strong Python engineering; your code is production-grade tested and maintainable.
Experience building APIs and data retrieval pipelines that feed context into AI systems.
Enough data intuition to reason about data quality schema and retrieval architecture without needing a dedicated data engineer beside you at all times.
Experience with agentic system patterns: tool use multi-step orchestration error handling in LLM workflows.
Familiarity with public cloud providers (AWS GCP)
We operate a polyglot platform with components written in Kotlin and Python. While this role is Python-focused you will need from time to time to contribute in a Kotlin stack so being open to that is important.
Why is this role a good fit for you
This role is a good fit for you if:
You have strong product instincts and build with the user in mind. You understand that a model is only as good as the problem it solves.
You have moved past prototyping and have a deep understanding of the realities of LLMOps data retrieval prompt and context engineering as well as model evaluation in production.
You dont just call APIs you understand the data feeding the AI system and can reason about data quality architecture and retrieval without needing a dedicated data engineer beside you at all times.
This role is not a good fit for you if:
You are primarily interested in model research or algorithm development. This role is about shipping working AI features to production.
You need fully defined specs and a groomed backlog to operate effectively. We expect you to discover and define the problem alongside Product and Design.
You cannot explain AI trade-offs clearly to non-technical stakeholders. You will regularly work with Product Managers Designers and business leaders who need to understand what is and isnt possible.
How youll develop in this role
In your first 6 months at Pleo youll:
Familiarise yourself with our codebase tooling and roadmap.
Partner with our Principal Engineer to define and own our approach to AI feature development.
Contribute to shaping the roadmap for tooling and features developed by our GenAI Core team.
Collaborate with Product and Data teams to ship a first feature to production
Were committed to helping you develop your career whether that means taking on bigger projects stepping into leadership or acquiring new skills!
The location
Please note: We can hire on a remote hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work.
We are unable to offer visa sponsorship for this role.
Show me the benefits!
Your own Pleo card (no more out-of-pocket spending!)
Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office
Comprehensive private healthcare - depending on your location coverage options include Vitality Alan or Médis
We offer 25 days of holiday your public holidays
For our Team we offer both hybrid and fully remote working options
We use MyndUp to give our employees access to free mental health and well-being support with great success so far
Paid parental leave - we want to make sure that were supportive of families and help you feel that you dont have to compromise your family due to work
The interview process
We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful our interview process is as follows:
Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background.
Technical screening: A 15 to 30 minute call with our Talent Partner to check your knowledge of key technical topics
System design interview: A 75-minute practical session with our engineers focusing on scoping and designing an AI feature
Live coding interview: A 75-minute practical session with our engineers focusing on implementing your solution.
Hiring Manager interview: A 60-minute conversation to deep dive into your knowledge and experience.
Final interview: A leadership interview focusing on your behavioural communication and collaboration skills.
Transparency is important to us so we also wanted to share some insights about what were looking for in applications to ensure you can set yourself up for success!
CV writing and content: we receive a lot of CVs and many of them are AI-generated. We love seeing people leverage AIits a big focus for us internally toobut without human intervention these CVs can sometimes become generic and fail to show a candidate in the best light. What were really looking for is the specific details of real impact that only you know from your previous experience. A top tip from us is to use the Achieved X as measured by Y by doing Z formula (credit: Laszlo Bock 2014) to give a really clear picture of what youve worked on. A final note: including links to your previous companies websites is a huge help and allows us to truly understand your background!
Application care: every single application we receive is reviewed by a human (yes hundreds of them) because we believe that candidates efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully they make a huge difference in our decision-making process.
Profile to role fit: this is neither a research-driven nor a traditional data or software engineering role. Were looking for someone with proven experience shipping customer-facing AI products who can also confidently operate at Staff level in a SaaS organisation. This means well be looking for evidence that you can own fairly complex initiatives that have organisation-wide impacts beyond just building and shipping.
About your application
English first. Since its our company language please submit your application in English. Youll be using it a lot if you join us.
A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly we only accept applications through our systemour support team cant pass on calls or emails.
Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply even if you dont tick every single box. We encourage people from all backgrounds and experiences to join us.
Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format email Well design a process that works for you.
Your data is safe. When you apply we process your personal data as a data processor. For more information on how Pleo processes personal data read our Privacy Policy here.
Applying for multiple roles Nothing is stopping you and we assess every role independently. However we do look for alignment so make sure you can explain why your interest and experience are right for each specific role.
Reapplying. If youre applying for the same role again please wait six months from your last decision before hitting submit.
Required Experience:
Senior IC
