GoodData is a cloud-based business intelligence platform revolutionizing the way in which companies provide analytics to their customers and partners. Our mission? To push the boundaries of BI and redefine the analytics experience through the power of AI.

Join us in building a groundbreaking AI-powered data analytics platform, where we focus on delivering real value—AI without the hype.

Be part of a transformative journey as we create an AI solution from the ground up, moving from concept to production. This is a unique opportunity to influence the future of analytics and work in a dynamic environment that prioritises innovation and collaboration.

What will you do?

• Design and enhance sophisticated AI systems with multiple layers, including routers, agents, evaluation (LLM-as-a-judge), and AI monitoring.

• Play a key role in shaping the architecture of our groundbreaking AI solution as we transition it into the production phase.

• Implement Python-based microservices within Kubernetes, ensuring seamless integration and communication between services in the cloud.

• Focus on scalability, performance, and security across our AI infrastructure, contributing to a robust and reliable product.

• Work closely with a diverse team of subject-matter experts, including senior engineers, UX designers, and project managers, to bring innovative ideas to life.

About you:

• Proficiency in Python and experience with building microservices.

• Familiarity with generative AI concepts, and an interest in building AI-driven solutions.

• Experience with cloud-based back-end systems and distributed architectures (such as Kubernetes, Docker, gRPC, Protobuf, Pulsar, AWS, GCP, Azure...).

• Ability to work collaboratively in a dynamic team environment.

• You are proactive and self-driven.

• Proven ability to quickly learn and understand complex subject matter.

Nice to have

• Knowledge of Prompt engineering, LLM Ops, RAG framework, Langchain and GenAI stack.

• Experience with CI/CD style of development.

• Familiarity with data science concepts or building ML infrastructure.

#LI-Hybrid

Benefits & Perks