Principal AI Engineer

Job Description

Own the AI revolution. We're building an all-in-one AI platform to help teams do their best work and automate every routine task you can think of. We're looking for someone who operates at the highest technical level - equally at home prototyping a new idea on Monday and shaping our AI roadmap on Friday. If you want to do serious work and have real influence over where it goes, this is the role.

• Shape the AI/ML technical direction - contribute to research strategy, validate POCs hands-on, and bring the architectural perspective that influences how we build
• Be the GenAI authority - stay ahead of the field, decide what's signal versus noise, and bring the team with you
• Lead hands-on exploration of new concepts, frameworks, and tooling - context management, memory, retrieval, agentic loop, A2A and beyond - from experimentation all the way to production
• Be a core part of product development - from discovery with PMs to delivery within cross-functional teams, operating as both a doer and a thought leader in the same sprint
• Own the LLM evaluation framework (proprietary and OSS) - set the criteria, run the assessments, make the call on performance, cost, and reliability
• Act as AI evangelist internally and externally - at this level, spreading serious AI thinking is part of the job, not a bonus

Requirements

• Proven track record of driving AI/ML initiatives end-to-end in production - you've owned the outcome, not just the ticket
• Expert ability to design, execute, and scale production-grade AI systems - and the hands-on instinct to still get in and build
• Deep command of AI developer frameworks and tooling - with the judgment to make the right call, not just the popular one
• Expert understanding of large language models, embeddings, multimodality, and AI architectures - including where they break
• Advanced expertise in context engineering and deployed evaluations - you raise the bar for how the team thinks about this
• Strong ownership and accountability - you can plan your own work, influence the team's direction, and still ship
• A builder's instinct: moves fast when it matters, rigorous when it counts
• Solid software engineering fundamentals, microservice architectures, and experience taking POCs through to production

Nice to have

• Architect-level experience designing and shipping complex Agentic systems at scale
• Deep expertise in data science methodologies, ML algorithms, and NLP - the fundamentals, not just the wrappers
• Experience in backend engineering, API design, scalable systems, and Kubernetes
• Track record of owning features end-to-end and working fluidly across engineering, product, sales, and marketing

Company offers

• Professional growth. Internal and external events, online training, conferences, books - everything you need to reach your full potential.
• Health benefits. Private health insurance, online & on-site workouts (LT) / online workouts & sports access card (PL), consultations - to feel and be your best.
• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts - and it's on us.
• More free time. Stay with us and additional vacation days will be added to your calendar.
• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.
• Flexibility. Flexible working time arrangement.