(Sr.) AI Python Developer
Designs and ships GoodData's AI-powered business intelligence platform: building multi-layered agentic AI systems (routers, tool-calling agents, RAG, LLM-as-a-judge evaluation) and implementing Python microservices on Kubernetes in the cloud, with a focus on scalability, performance, and security.
- Compensation
- Not disclosed
- Location
- Czechia
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Proficiency in Python and experience building microservices
- Familiarity with generative AI concepts (LLM APIs, tool/function calling, prompting)
- Experience with cloud-based back-end systems and distributed architectures (Kubernetes, Docker, gRPC, Protobuf, Pulsar, AWS, GCP, Azure)
- Ability to work collaboratively in a dynamic team environment
- 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
- Hands-on experience building agentic systems
- Experience with CI/CD style of development
- Familiarity with data science concepts or building ML infrastructure
Full description
GoodData.ai 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.
We’re creating an AI solution and now pushing it into the production phase. Be part of the journey as we shape the future of Analytics Intelligence.
What will you do?
- Design and enhance sophisticated AI systems with multiple layers, including routers, agents, evaluation (LLM-as-a-judge), and AI monitoring.
- Develop and optimize a multi-layered agentic AI system: routers, tool-calling agents, RAG pipelines, evaluation (LLM-as-a-judge), and AI observability.
- 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 - LLM APIs, tool/function calling, prompting - 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.
- Hands-on experience building agentic systems.
- Experience with CI/CD style of development.
- Familiarity with data science concepts or building ML infrastructure.
About GoodData.AI
At GoodData.AI, we’re building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.