Senior Artificial Intelligence/Machine Learning Platform Engineer

Join our team as a Senior AI/ML Platform Engineer, where you will be responsible for building the platforms, infrastructure, and services necessary to deliver impactful ML and generative AI products. You will create the backend infrastructure for scalable and resilient solutions, build services that expose AI-based products, and manage applications in production. This role requires a strong background in Python, experience with Docker and Kubernetes, and a passion for building systems from scratch.

• Contribuer à la construction de plateformes, d'infrastructures et de services pour la livraison de produits basés sur l'IA et l'apprentissage automatique.
• Créer l'infrastructure backend nécessaire pour permettre des solutions évolutives, résilientes et hautement performantes.
• Déployer et gérer diverses applications en production, tout en codant quotidiennement.
• The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members
• Experience working with Docker and deploying applications to Kubernetes
• Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with foundation model APIs (e.g., OpenAI, Anthropic, AWS Bedrock)
• Ability to write high-quality code in Python
• Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming (WebSockets, Server-Sent Events)
• Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward
• Excellent communication skills with a talent for building consensus and alignment
• Experience setting up and maintaining vector databases
• Experience building RAG based AI solutions
• A desire to learn new technologies quickly
• Experience with relational and low-latency databases
• A love of building systems from scratch
• 4+ years of experience delivering production ready products
• A thoughtful approach to balancing quality and deadlines in fast-paced settings
• Experience with Graph Databases (e.g., Neo4j, AWS Neptune) and integrating them into AI/Knowledge systems (e.g., GraphRAG)
• Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token usage, and output quality
• Experience defining and using Protobuf messages
• Experience writing production code in Java/Kotlin
• Experience building solutions on cloud infrastructure, particularly AWS
• Experience working with Celery
• Experience working with highly sensitive data in a healthcare environment