- Locations
- London
- Prague, Czechia
- Dublin, Ireland
- Last Published
- Jan. 21, 2026
- Sector
- Business Applications
- Functions
- Software Engineering
- Data Science
📍Open to candidates based in Prague, hybrid Build AI-powered features that thousands of product teams rely on - from clustering insights to smart recommendations. We’re looking for an experienced AI Engineer to join our cross-functional team and help shape the next generation of product management with LLMs, agentic workflows, and scalable infrastructure. About you
- Professional expertise in building Python applications
- Proficiency in designing, executing, and maintaining ML systems and solutions in a production environment
- Familiarity with the management of performance and testing of ML systems
- Practical experience with message queue systems and a grasp of event-driven architecture
- A background in data science and LLMs would be highly advantageous
- Building AI-powered product features
- Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies
- Discovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the execution
- Collaborating with other engineers, introducing fresh concepts and methodologies to the team
- We write our ML code in Python
- When it comes to scheduling ML pipelines, we rely on orchestration frameworks like Celery and Kubernetes
- Our real-time services run on AWS and Kubernetes, backed by Git, CI/CD, Docker, Helm, and Kafka
- For monitoring our services we use Datadog and Sentry, and for a business overview, we've got Looker in our toolkit
- Our tech toolbox also includes GraphQL and Postgres, among other technologies
- LangGraph for agent orchestration and workflow management, combined with LangSmith for observability, monitoring, and evaluation of AI agents
- Introducing new capabilities into our solutions – a feature store, eliminating the need of manual processing of incoming Insights data, live predictions, co-usage of different vendor LLMs, etc.
- Ensuring data flows from the frontend via GraphQL – asynchronous processing through Kafka in different services, and back to frontend – produce a seamless UX experience
- Ensuring our core services, which store data from different sources, are ready to scale and meet performance requirements
- Building a robust agentic infrastructure capable of supporting diverse AI-driven use cases, enabling scalable, autonomous decision-making workflows, and ensuring resilience across various customer scenarios
- Delivering LLM solutions to our customers
- Establishing a Feature store dedicated to storing embeddings for our services
- You can check our recent AI releases at https://www.productboard.com/product/ai/
About Productboard
At Productboard, we’re on a mission to help product teams build exceptional products with clarity and confidence. As the leading intelligent product management platform, we empower over 4,000 companies, including Salesforce, SAP, Autodesk, and Kroger, to understand what customers need, prioritize what to build next, and align everyone around a shared roadmap. Headquartered in San Francisco with offices in Prague and Brno, Czechia, we’re backed by some of the world’s most respected investors, including Index Ventures, Kleiner Perkins, Sequoia Capital, Bessemer Venture Partners, Tiger Global, and Dragoneer. We’re proud to be consistently recognized as one of the best places to work by BuiltIn and Comparably, and to count ourselves among the world’s leading unicorn companies. Well-funded and financially disciplined, we have the stability and runway to build boldly for the long term. Over the past few years, we’ve rearchitected our platform from the ground up to serve enterprise scale and set the foundation for the next era of product management. Now we’re entering an exciting new phase with Productboard Spark, our AI-first, agentic experience that transforms how product teams work. Spark is a true collaborator that deeply understands your product context, company strategy, and customer needs, helping teams move faster and make smarter, more confident decisions. Join us as we build the future of product management.About our culture
Imagine working in a place where everything matters — most importantly, you. At Productboard, values aren’t just something we like to talk about, they’re something we live and breathe. We believe in creating a work environment where:- People feel empowered, supported, and included
- Trust and transparency are built into the way we work
- Creativity, curiosity, and continuous improvement are encouraged and nurtured every day