YOUR SKILLS

• At least 3 years of Python experience
• Strong foundation in software design and architecture, focusing on writing readable, maintainable, and 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, Mac or Linux, Docker and Kubernetes
• Passionate about solving complex problems, using an analytical approach
• Bonus points for:
• Experience with database systems and Data/ML ecosystem
• Experience working with highly connected, complex systems, and the ability to mentally model and navigate intricate architectures
• Experience with Cloud-native development (AWS, Kubernetes,…)
• Open Source experience
• Strong exposure to Machine Learning and Generative AI workflows
• Background in working with or designing graph data architectures
• Familiarity with deploying and integrating Large Language Models (LLMs), including private and cloud-based LLMs

AS PART OF OUR TEAM, YOU OVERSEE THE TECHNICAL DEVELOPMENT OF ARANGODB’S CAPABILITIES WITHIN THE GENAI UNIVERSE. YOUR RESPONSIBILITIES INCLUDE:

• Design and own Python-based features for ArangoDB’s Unified Platform
• Evaluate the latest developments and innovations in the GenAI and Python fields, applying them effectively in your work
• 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.