
FlexAI
Paris, France
AI infrastructure for training and inference across clouds
About
FlexAI builds a software-defined cloud platform that orchestrates AI workloads like inference, fine-tuning, and training across multiple clouds, accelerators, and data centers. It serves AI teams, startups, and enterprises by abstracting hardware complexity, enabling faster deployment, better efficiency, and avoiding vendor lock-in. This matters as it addresses AI compute shortages and optimizes heterogeneous compute usage.
Tech stack
Kubernetes, Python, Go, Docker, AWS, GCP, Azure, Java
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8New grad software engineer building reliable AI infrastructure products, APIs, and scalable features. Requires BS/MS in CS, strong coding in Python/Go/Java/JS, algorithms knowledge, and internship experience.
Designs, develops, and optimizes core runtime infrastructure for distributed AI training and inference using PyTorch-based stack. Requires 8+ years in systems engineering, deep learning runtimes, Python/C++, and multi-node GPU workloads.
Architects and builds high-performance Golang backend services for AI PaaS platform, focusing on distributed systems, GPU orchestration, model deployment, and cloud-native infrastructure. Requires 5+ years experience with expert Golang and Kubernetes proficiency.
Build end-to-end features for AI compute platform including React UIs, Python/Node.js APIs, data workflows, and compute integrations. Requires 5+ years full stack experience, React, Python/FastAPI or Node.js, and startup environment comfort.
The Staff DevOps/SRE Engineer will define infrastructure strategy and SRE practices while building reliable, scalable systems for distributed, multi-cloud AI workloads. The role requires 8+ years of experience, deep Kubernetes and infrastructure-as-code expertise, and strong capabilities in automation, observability, and incident response.
Builds end-to-end features for an AI compute infrastructure platform, spanning React interfaces, Python or Node.js APIs, data models, integrations, and compute workflows. The role requires 5+ years of full-stack experience and strong ownership across frontend and backend systems.
Build and operate scalable infrastructure powering FlexAI’s AI and PaaS platform. The role focuses on Kubernetes, infrastructure as code, CI/CD, observability, incident response, and reliability practices, requiring 4+ years of DevOps, SRE, or infrastructure engineering experience.
Build and lead high-performance Golang backend services for an AI compute and PaaS platform. The role requires 8+ years of backend or infrastructure experience, distributed-systems expertise, and strong cloud-native, Kubernetes, and container orchestration skills.