AI Platform Engineer, Gen AI

Job not on LinkedIn

🕒 March 4

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Veltris

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Veltris is a trusted technology partner that drives innovation by leveraging digital technologies, artificial intelligence, and Industry 4. 0 capabilities. The company specializes in digital product engineering, enabling organizations across various sectors to accelerate technology transformations and develop smarter, connected products. With a design thinking approach and agile software development practices, Veltris helps clients optimize their product development processes and achieve strategic advantages in the market.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

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