Oncology AI Platform Engineer & MLOps

Institut Curie - Research Center; France; Hybride; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Subsidized staff restaurant

Public transportation reimbursement

Private health insurance

Hybrid work opportunities

Résumé du poste

Institut Curie - Research Center is recruiting a Research Engineer/Scientist in Artificial Intelligence (M/F) to join the AGORA project. You will design the AI platform architecture, develop production-ready AI services and APIs, and ensure traceability and observability across AI workflows.

The role focuses on RAG-enabled, multi-agent pipelines, deployment on GPU/inference infrastructure, and collaboration with Bioinformatics Core Facility and Computational Oncology Unit in a highly

Qualifications

• MSc, Engineering Degree, or equivalent in CS, software engineering, bioinformatics, data engineering or related field.

Responsabilités

• Design core AI platform architecture and standards for AGORA.
• Develop production-ready AI services, APIs, and infrastructure for RAG and multi-agent workflows.
• Ensure reproducibility, lineage, logging, auditing and traceability of AI workflows.
• Implement evaluation/validation pipelines for LLM-based systems.
• Define and monitor operational, performance, quality and reliability metrics.
• Build and maintain observability frameworks for AI systems and LLM apps.
• Deploy GPU/inference infrastructure and collaborate with IT/security teams.

Connaissances

APIs

FastAPI

Flask

SQL

NoSQL

Vector databases

Docker

Linux

MLOps

CI/CD

Observability

Formation

MSc / Engineering Degree

Outils

Kubernetes

OpenTelemetry

Cloud platforms

Description du poste

Institut Curie - Research Center is recruiting a Research Engineer/Scientist in Artificial Intelligence (M/F) to join the AGORA project. You will design the AI platform architecture, develop production-ready AI services and APIs, and ensure traceability and observability across AI workflows.

The role focuses on RAG-enabled, multi-agent pipelines, deployment on GPU/inference infrastructure, and collaboration with Bioinformatics Core Facility and Computational Oncology Unit in a highly