Join GoodData.AI as a Senior AI Python Developer to design and enhance AI systems in a hybrid work environment.
Posted by employer 3 weeks ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
AI in the day-to-day
We focus on delivering real value—AI without the hype, shaping the future of Analytics Intelligence.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In this role, the AI Python Developer is responsible for designing and enhancing complex AI systems, focusing on multi-layered architectures and microservices within a cloud environment. Key skills include proficiency in Python, experience with Kubernetes, and familiarity with generative AI concepts. This position is ideal for someone with a strong background in building scalable, secure cloud-based solutions, and who thrives in a collaborative, fast-paced team setting. GoodData.AI is in a pivotal phase of transitioning its innovative AI platform into production, emphasizing real-world applications of analytics.
Joblaze insights
Quick facts
From the original posting
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.
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.
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.
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.
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.
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