AI Engineer (Agents)

Join Arondite, a mission-focused team dedicated to leveraging AI in high-stakes scenarios. As an AI Engineer, you will take ownership of building AI solutions, creating advanced agentic designs, and integrating AI into our enterprise software product. You will also design end-to-end AI solutions, invent novel capabilities, and document your work for compliance. Enjoy a highly competitive salary, generous equity options, free meals, comprehensive health insurance, and unlimited holiday policy.

Arondite aims to bring together individuals from diverse backgrounds and with different perspectives. We therefore don’t expect people to have experience across every area of the requirements. Please apply even if you only partially fulfil the following lists

Responsibilities

• Comprendre les problèmes des clients et mettre en œuvre des solutions basées sur l'IA.
• Participer à la création de conceptions avancées d'agents et à l'ingénierie du déploiement de modèles de langage.
• Collaborer avec d'autres ingénieurs pour intégrer l'IA dans le produit logiciel de l'entreprise.
• Ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP)
• A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms

Requirements

• Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field
• 1 year of experience developing agentic AI in production ready environments
• A strong background in the mathematical foundations of core ML algorithms, paired with hands-on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration
• 3 years of relevant hands-on experience with machine learning algorithms
• Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users
• The ability to write clean and maintainable code in Python, Rust, C++ or Java

PhD in machine learning, or a related field

• Authored publications in top-tier journals and conferences (e.g. NeurIPS, ICLR, ICML, EMNLP)
• Created and optimised state-of-the-art AI models for resource-constrained hardware

Preferred

• Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance
• Experience working with AI in regulated environments