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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform & MLOps Engineer (M/F) H/F - **Company:** Institut Curie - **Location:** Paris, France - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Bioinformatics, Clinical Data Repository, Computational Biology, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Linux, Python (Programming Language), Machine Learning, NoSQL, Software Construction, Software Deployment, Software Engineering, SQL Databases, AI Infrastructure, Data Logging, Flask (Web Framework), Large Language Models, Grafana, Multi-Agent Systems, Fastapi, Containerization, AI Platforms, Kubernetes, Information Technology, Data Lineage, Machine Learning Operations, Api Design, Automation Anywhere, Docker - **Published:** August 26, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=14416898ad16b6fd ## About the Role * MSc, Engineering Degree, or equivalent qualification in Computer Science, Software Engineering, Bioinformatics, Data Engineering, or a related field. Technical Skills * Strong Python development skills. * Experience building APIs using FastAPI, Flask, or similar frameworks. * 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 practices, CI/CD, and AI deployment workflows., * Experience operating machine learning or LLM-based 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. Personal Skills * Strong problem-solving abilities. * Rigorous and quality-oriented mindset. * Ability to work independently while collaborating within multidisciplinary teams. * Strong communication skills. * Interest in research and innovation. ## Description The ambition of AGORA is to design and validate one of the first agentic AI platforms fully dedicated to biomedical research and precision oncology. The platform will be capable of exploring complex biological data, integrating the latest medical knowledge, assisting molecular interpretation, and generating novel research hypotheses. To achieve this goal, AGORA combines large language models (LLMs), biomedical knowledge bases, bioinformatics tools, multi-omics datasets, and clinical data into a unified reasoning framework. The project brings together experts in artificial intelligence, machine learning, and data science, specialists in health data integration and governance, researchers in systems biology and mechanistic modelling, as well as oncologists actively involved in precision medicine programmes. The successful candidate will work at the interface of these different groups and will join the Bioinformatics Core Facility and INSERM U1331 Computational Oncology Unit, a highly interdisciplinary environment comprising approximately 100 researchers working in computational biology, bioinformatics, and artificial intelligence. Main Responsabilities The position is central to the project and aims to develop the scientific and technological foundations of a new generation of AI assistants for oncology. As the main AI platform/MLOps engineer (M/F), you will: * 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. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Companies to Work For in Paris: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/190-best-companies-to-work-for-in-paris-top-25-companies-in-2023) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)