Responsibilities
- Work alongside product engineers and data specialists to build and ship AI-powered products including spend intelligence, automated actions, agentic workflows, and more.
- Work directly with Product, Design, Engineering, and business stakeholders to advise and prioritise on what's actually worth building.
- Own the evaluation, monitoring, and operationalisation of AI features — setting up evals, tracking drift and performance, and managing prompt changes safely in production.
- Help establish how Pleo does this at scale and own the development in production.
- Partner with our GenAI Core platform team to define and prioritise what tooling is being built for the whole company, and subsequently act as a champion for the use and adoption of our tooling.
Requirements
- Proven experience shipping GenAI features at scale in a customer-facing product.
- Experience shipping multi-step, tool-using agents in a user-facing product.
- Ability to translate complex business challenges and product visions into scalable AI solutions.
- Autonomous ability to scope, design and build AI solutions.
- Experience setting up evals, monitoring, and production observability for LLM-based systems.
- Solid experience with the modern AI stack including Vector DBs, orchestration frameworks and LLM APIs.
- Experience building APIs, services and data retrieval pipelines (RAG, vector search...) to feed data into LLMs.
- Deep proficiency with Python for both data and software engineering, SQL and BigQuery or similar major cloud providers.
Nice to Have
- Experience with GCP, BigQuery, Airflow, Python, SQL on the Data side.
- Experience with AWS, Kotlin, Javascript, Typescript on the Product side.
- Experience with containerised infrastructure using Kubernetes.
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
- 25 days of holiday + public holidays
- Hybrid and fully remote working options
- MyndUp access to free mental health and well-being support
- Paid parental leave
Team
Team size: 3. Structure: Small, complementary data team consisting of a Staff Data Platform Engineer, a Staff Data Scientist, and the Staff Applied AI Engineer.
Additional Information
- English is the company language; application must be submitted in English.
- Candidates must be physically based in the country of their choice with a valid right to work.
- Visa sponsorship is not offered for this role.
- Application must be submitted through the company system; calls or emails cannot be passed on by support.
- Diversity is valued; people from all backgrounds and experiences are encouraged to apply even if not all boxes are ticked.
