Hybrid-Work AI Platform Engineer for Oncology

Institut Curie - Research Center; France; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Subsidized staff restaurant

Public transportation reimbursement (P

Private health insurance

Hybrid work opportunities

Job summary

Institut Curie - Research Center is recruiting a main AI platform/MLOps engineer to join the AGORA project, focused on building production-ready AI services for biomedical research in oncology.

The role sits at the interface of AI, bioinformatics, and clinical data within a highly interdisciplinary team, contributing to platform deployment, observability, and governance under a hybrid work model.

Qualifications

• MSc, Engineering Degree, or equivalent qualification in Computer Science, Software Engineering, Bioinformatics, Data Engineering, or related field.
• Experience building APIs with FastAPI or Flask.
• Experience with SQL, NoSQL, and vector databases.
• Experience with Docker/Singularity and containerized environments.
• Familiarity with Linux systems and software engineering best practices.
• Experience developing and operating production-quality software.
• Experience with monitoring, logging, tracing, and observability tools.
• Knowledge of MLOps, CI/CD, and AI deployment workflows.
• Experience operating ML/LLM systems in production.
• Experience with ML Observability and AI infrastructure.
• Familiarity with OpenTelemetry, or similar tools.
• Experience monitoring model performance, data quality, and drift.
• Experience implementing evaluation frameworks for LLMs, RAG systems, or AI agents.
• Experience with Kubernetes and cloud-native technologies.
• Experience working with biomedical, healthcare, or other regulated data environments.

Responsibilities

• Design the core AI platform architecture and define standards best practices for the project.
• Develop production-ready AI services, APIs, and infrastructure supporting RAG and multi-agent workflows.
• Ensure reproducibility, lineage tracking, logging, auditing and traceability of AI workflows.
• Implement evaluation and continuous 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 applications.
• Implement monitoring pipelines covering inference workloads, latency, availability, cost and user interactions.
• Contribute to deployment and operation of GPU and inference infrastructure.
• Work closely with the Institut Curie Data Office and IT teams to ensure compliance and security.

Skills

API development

SQL/NoSQL/Vector DBs

Docker/Singularity

Linux & software engineering

Production-grade software

Observability tooling

MLOps/CI-CD

ML/LLM production experience

ML Observability

OpenTelemetry

Model evaluation frameworks

Kubernetes/cloud-native

Biomedical/regulated data

Education

MSc or Engineering Degree in CS/Bioinformatics/Data Eng

Tools

Docker

Singularity

Kubernetes

CI/CD tooling

OpenTelemetry

Job description

Institut Curie - Research Center is recruiting a main AI platform/MLOps engineer to join the AGORA project, focused on building production-ready AI services for biomedical research in oncology.

The role sits at the interface of AI, bioinformatics, and clinical data within a highly interdisciplinary team, contributing to platform deployment, observability, and governance under a hybrid work model.