Generative AI Engineer

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September 9

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ArangoDB

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Software • SaaS • Artificial Intelligence

ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.

51 - 200 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

💰 $27.8M Series B on 2021-10

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Remote work with the choice to work from home or join an office • Office locations in San Francisco (HQ) and Cologne • Diverse, global team from 5 continents and more than 20 countries • Inclusive workplace committed to non-discrimination