Senior AI Engineer – Customer & Marketing Systems

About Kiwi.com

Kiwi.com is a leading global travel-tech company headquartered in the Czech Republic. Our innovative algorithm enables users to find better route options and prices other search engines can’t see, daily performing billions of price checks across 95% of global flight content. Are you bold, bright and curious? Join a global business that’s still got a start-up heart.

About our Customer & Marketing Engineering Team

In the Kiwi.com Customer & Marketing Engineering team, we focus on building intelligent systems that drive how we interact with millions of global travelers. Working with a Google Cloud-native stack, our mission is to leverage cutting-edge AI, machine learning, and semantic search to personalize travel discovery and campaign automation. We build for depth and speed, deploying models that have an immediate business impact and directly shape the customer journey.

What you will do

• Design and deploy scalable AI/ML systems that power our customer platforms, focusing on personalization, semantic search, and retrieval-augmented generation (RAG).

• Own our vector database strategy using technologies like Vertex AI Vector Search, pgvector, or Pinecone to support high-scale similarity search.

• Define and govern key data models in BigQuery, capturing complex customer behaviors, campaign interactions, and event schemas.

• Build robust retrieval and embedding pipelines to integrate AI-driven intelligence into our CRM, CDP, and marketing automation tools.

• Architect and launch AI services on GCP utilizing Vertex AI, Cloud Run, GKE, Dataflow, and Pub/Sub.

• Partner directly with product and marketing teams to turn customer and commercial opportunities into highly optimized AI/ML products.

• Set engineering standards for AI production reliability, leading system evaluations, and guiding fellow engineers through technical design and code reviews.

What you will need

• Significant hands-on experience architecting, deploying, and maintaining production-grade AI/ML systems at scale.

• Deep expertise within the GCP ecosystem, especially with BigQuery and Vertex AI, alongside hands-on vector database utilization.

• Strong data modeling skills (relational and dimensional) with experience handling high-volume customer datasets and event schemas.

• Advanced Python proficiency and deep familiarity with machine learning frameworks, LLMs, and RAG architectures.

• Familiarity with marketing tech infrastructure—such as CRMs, CDPs, or automation tools—and a solid grasp of data privacy (e.g., GDPR).

• A strong bias for action and automation, thriving in a lean, fast-paced environment where we value speed over perfection and iterate in real-time.

• Strong written and verbal communication skills in English language, with the ability to articulate complex technical decisions to diverse stakeholders.

We offer you

• We give our employees the freedom to choose between the environment of work from home and our office in Prague, situated in the heart of the Karlin district with an in-house gym, sleeping spots, canteen, showers, chillout zones, and free refreshments.

• We enjoy benefits, such as meal vouchers, 25 days of paid vacation, Cafeteria, sick days, VIP Medical Care, Multisport card, Makro Cash & Carry Card, Employee Assistance Program, and career development framework.

• Annual financial bonus based on company and individual performance.

• Relocation package (including visa transfer support).

• We're rewarding Kiwis with flight vouchers to celebrate their Kiwi anniversaries.

• Grow.Kiwi program which supports parents and keeps them engaged with the company.

• Dogs are welcome in our offices.

Interested? Join us and help us make travel more accessible to all.

Kiwi.com is proud to be an equal opportunity workplace and employer. We review applications for employment without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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