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.

 

About Productboard

Productboard is the customer-centric product management platform that helps organizations get the right products to market, faster. Over 5,500 companies, including Zoom, One Medical, Cartier, Microsoft, and Korn Ferry, use Productboard to understand what customers need, prioritize what to build next, and rally everyone around their roadmap.

With offices in San Francisco, Brno, and Prague, Productboard is backed by leading investors like Tiger Global Management, Dragoneer Investment Group, Index Ventures, Kleiner Perkins, Sequoia Capital, Bessemer Venture Partners, and Credo Ventures. In January 2022, we closed our $125M Series D round, which put us into the Unicorn category of companies, with a valuation of $1.7B.

• Join at the golden startup age — established stability of a Unicorn with space for individual impact.
• You’ll enjoy an exciting team atmosphere, building a whole new category of software.
• You can help change the way that products are built all over the world.
• We iterate quickly, and decisions are fast. You’ll have a voice in what we do and see the impact of your work.
• We are backed by top Silicon Valley investors, giving us access to capital, networks, mentors, and new markets.
• We are recognized as one of the hottest tech startups on the market today, named by Forbes magazine and Business Insider as one of the best startup employers to bet your career on.

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

Forming our company values was a group effort, with every employee allowed to contribute. From profit-sharing initiatives, like stock options, to open calendars and communication, we don’t waste time on politics or ego. We champion openness by sharing our goals, successes, and failures. Join colleagues who are passionate about what they do. Team members who are invested in their work environment, and the future of Productboard. Help shape our company, culture, and product! Check out our LinkedIn Life page, or listen to our People of Productboard podcast for a real feel of what life is like at Productboard.

Equal Opportunity Employer Statement

We are an equal opportunity employer and champion equity. We aim to help people from all backgrounds, cultures, and groups realize their full potential at Productboard. We do not tolerate any discrimination or harassment based on gender identity, race, color, religion, age, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or any other bias covered by appropriate law. All aspects of employment, including hiring, training, promotion, and terminations, are based on merit, competence, performance, and business needs. We are committed to an inclusive hiring process and provide all candidates with equal opportunity to demonstrate their abilities. Togetherness is one of our core values, and our Diversity Council helps to ensure that we uphold the values of authenticity, humanity, and diversity to create an environment where every person matters. We are committed to leading by example to drive societal change.