AI Engineer (LLMs, Agents)

📍Open to candidates based in Czechia (Prague/Brno, hybrid) or Slovakia (remote)

Build AI-powered features that thousands of product teams rely on - from clustering insights to smart recommendations.

We’re looking for an AI Engineer with 3+ years of experience 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

You will help us with

• 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

Our tech stack

• Python (ML code), Celery, Kubernetes

• AWS, Kafka, Docker, Git, CI/CD

• GraphQL, Postgres

• LangGraph, LangSmith

• Monitoring: Datadog, Sentry

About the AI team

We’re a cross-functional product team working on AI-powered features that help product managers make better decisions. We build things like smart suggestions, clustering, semantic search, and AI agents that process feedback and support workflows.

Our goal is to combine product data, LLMs, and user context to create real-time decision support for teams building products.

Our core challenges

• 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

We’re looking for experienced engineering minds, who are able to not only lead big technical projects, but act as knowledge multipliers inside and outside of the team. Those who strive to build top-end services and are able to turn a good system design on paper into a well-tuned working solution.

The team has recently worked on

• Delivering LLM solutions to our customers
• Establishing a Feature store dedicated to storing embeddings for our services
• Training NLP models, utilized by numerous customers, with daily retraining cycles
• You can check our recent AI releases at https://www.productboard.com/product/ai/

 Sound interesting? Let’s talk. We move fast, and we’re happy to show you what we’re working on.

Check out our LinkedIn Life page, Instagram profile, and People of Productboard FB page or listen to our People of Productboard podcast for a real feel of what life is like at Productboard.