Generative AI Engineer

ArangoDB

full-time

Posted on: 9/9/2025

Location: 🇪🇺 Anywhere in Europe

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Mid-LevelSenior

AWSCloudDockerGoogle Cloud PlatformKubernetesLinuxMacOSNoSQLOpen SourcePythonSQL

About the role

Design and own Python-based features for ArangoDB’s Unified Platform
Evaluate the latest developments and innovations in the GenAI and Python fields and apply them effectively
Build solutions for GenAI use cases such as data pipelines, retrieval-augmented generation (RAG), and advanced analytics
Develop and refine agentic workflows: build, orchestrate, and optimize autonomous agents for complex tasks within distributed environments
Integrate and manage private and cloud-hosted LLMs with a focus on secure, scalable deployment
Build and scale ArangoDB solutions within Kubernetes environments, ensuring robust operation and performance for AI workloads
Other duties as assigned from time to time

At least 3 years of Python experience
Strong foundation in software design and architecture, focusing on readable, maintainable, production-grade code
Solid expertise in testing software across all levels, including unit tests, integration tests, and end-to-end testing strategies
Hands-on experience with NoSQL/SQL
Experience with MacOS or Linux
Experience with Docker and Kubernetes
Passionate about solving complex problems using an analytical approach
Familiarity with deploying and integrating Large Language Models (LLMs), including private and cloud-based LLMs
Experience with cloud-native development (AWS, Kubernetes,...) (bonus)
Experience with database systems and Data/ML ecosystem (bonus)
Experience working with highly connected, complex systems (bonus)
Open Source experience (bonus)
Strong exposure to Machine Learning and Generative AI workflows (bonus)
Background in working with or designing graph data architectures (bonus)
Candidates must be located between European GMT +0 and Indian GMT +5.5 time zones