GoodData
(Sr.) AI Python Developer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Prague
Employer listed it 5 weeks ago · Added yesterday
Been open since 5 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · Prague
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
This employer didn't state pay. Jobs like this usually pay around $175k–$230k a year, a typical range taken from 595 senior-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Prague, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Prague, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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. But what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.
Requirements
- ·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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at GoodData, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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