Experienced AI Engineer in AI Team

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 youProfessional expertise in building Python applicationsProficiency in designing, executing, and maintaining ML systems and solutions in a production environmentFamiliarity with the management of performance and testing of ML systemsPractical experience with message queue systems and a grasp of event-driven architectureA background in data science and LLMs would be highly advantageous
You will help us withBuilding AI-powered product featuresEnhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologiesDiscovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the executionCollaborating with other engineers, introducing fresh concepts and methodologies to the team
Our tech stack You'll work with the following frameworks, tools, and languages:We write our ML code in PythonWhen it comes to scheduling ML pipelines, we rely on orchestration frameworks like Celery and KubernetesOur real-time services run on AWS and Kubernetes, backed by Git, CI/CD, Docker, Helm, and KafkaFor monitoring our services we use Datadog and Sentry, and for a business overview, we've got Looker in our toolkitOur tech toolbox also includes GraphQL and Postgres, among other technologiesLangGraph for agent orchestration and workflow management, combined with LangSmith for observability, monitoring, and evaluation of AI agents
About the AI team AI team is a cross-functional product team, composed of backend, frontend, machine learning engineers with PMs and designers. You might have already explored the AI capabilities within our product, and we aim to build more copilot features into Insights and other domains, enabling bulk-processing, pre-processing, smart suggestions and other functionality. In the end, our customers would be presented with aggregated insights & clustered data, which is connected to the features & ideas they plan to build.
Where are we heading To create even more value for customers, we are on a mission to help product teams transform their product management practices, leveraging the power of AI to make impactful product decisions faster through a deeper understanding of different types of data within the Productboard platform (customer feedback, competitors, market intelligence, business strategy, etc.) We also aim to make product teams more effective on tactical and strategic tasks throughout the entire product management lifecycle with AI-powered workflows that augment existing core workflows within Productboard.
Our core challengesIntroducing 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 experienceEnsuring our core services, which store data from different sources, are ready to scale and meet performance requirementsBuilding 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 onDelivering LLM solutions to our customersEstablishing a Feature store dedicated to storing embeddings for our servicesTraining NLP models, utilized by numerous customers, with daily retraining cyclesYou can check our recent AI releases at   Ready to build something that thousands of product teams rely on every day? Apply now

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