AI Platform Engineer, Gen AI

Emploi pas sur LinkedIn

🕒 il y a 5 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

🏗️ Ingénieur Plateforme

🗣️🇺🇸🇬🇧 Anglais requis

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Veltris

501 - 1000 employés

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

Veltris est un partenaire technologique de confiance qui stimule l'innovation en tirant parti des technologies numériques, de l'intelligence artificielle et des capacités de l'Industrie 4. 0. L'entreprise se spécialise dans l'ingénierie de produits numériques, permettant aux organisations de divers secteurs d'accélérer les transformations technologiques et de développer des produits plus intelligents et connectés. Grâce à une approche de design thinking et des pratiques de développement logiciel agile, Veltris aide ses clients à optimiser leurs processus de développement de produits et à obtenir des avantages stratégiques sur le marché.

Description

• Design, build, and maintain platform infrastructure for Generative AI applications. • Develop scalable backend services using Python or Java. • Build and operate production-grade AI systems, including: AI Agents, Retrieval-Augmented Generation (RAG), Knowledge Graph based systems. • Implement end-to-end DevOps practices, owning the lifecycle from development through deployment and monitoring. • Design and manage CI/CD pipelines using tools such as GitHub Actions or Jenkins. • Implement Infrastructure as Code (IaC) using Terraform. • Deploy and manage applications on cloud platforms using both: Cloud-native services, Containerized, cloud-agnostic environments. • Work closely with data scientists, ML engineers, and platform teams to deliver scalable AI infrastructure.

🎯 Exigences

• 8+ years of professional experience in software engineering or platform engineering. • Strong understanding of system integration and API design with CRM related toolsets. • Strong development experience in Python or Java. • Hands-on experience building production-grade Generative AI systems. • Experience with AI Agents & Retrieval-Augmented Generation (RAG). • Experience building Knowledge Graph platforms. • Expertise in Graph databases, Metadata ontology, Graph-based RAG architectures. • Strong experience in DevOps culture and practices. • Hands-on experience with CI/CD pipelines (GitHub Actions or Jenkins). • Infrastructure as Code (Terraform). • Experience deploying and operating systems in cloud environments: Cloud Native(AWS S3, Lambda, AWS batch, AWS ECS) and Kubernetes-based services.

🏖️ Avantages

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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