# Senior Infrastructure Engineer, AI/ML Systems at Instructure

Instructure is hiring a Senior Infrastructure Engineer, AI/ML Systems for a remote role open to applicants in Hungary. Level rates it Builds AI ●●●●; you can [apply on Instructure](https://jobsbylevel.com/go/0ee9578c-d422-470e-ac15-64a370f098c8?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Remote (Budapest, Hungary).

## Details

- Company: [Instructure](https://jobsbylevel.com/companies/instructure)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Remote (Budapest, Hungary)
- Posted: August 24, 2026
- Apply: https://jobsbylevel.com/go/0ee9578c-d422-470e-ac15-64a370f098c8?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-infrastructure-engineer-ai-ml-systems-at-instructure-ed5309

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-infrastructure-engineer-ai-ml-systems-at-instructure-ed5309

## Description

At Instructure , we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day. This is a hands-on delivery role. You'll build the deployment path that takes models and AI services from prototype to production, and you'll keep them running once they're there. You'll be one of two engineers who own infrastructure for this team, which means wide scope, real ownership, and direct influence over how we build. You'll work closely with data scientists, applied AI engineers, and product partners to turn advanced AI ideas into reliable product capabilities used at scale. What You'll Do Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production Partner with data scientists and applied AI engineers to take prototypes into production, including system design for net-new services Own production reliability for AI services: monitoring, alerting, debugging, performance, and cost Spot repeated patterns and turn them into reusable templates, so the team can ship its second and third variant of something without rebuilding it What You'll Need Six or more years in infrastructure, DevOps, platform, or ML engineering, with ownership of systems running in production Deep hands-on experience across a wide range of AWS services, including compute, networking, storage, deployment, and monitoring Infrastructure-as-code experience (Terraform, CDK, or CloudFormation) Experience with containers and modern deployment patterns (Docker required, Kubernetes or ECS/EKS a plus), applied to CI/CD pipelines you've designed and operated for production services Experience with orchestration and workflow tooling (Airflow, Dagster, Argo, Step Functions, or similar) Comfort working through ambiguity and collaborating directly with data scientists and researchers It Would Be a Bonus If You Had Experience with ML platform components and data pipeline orchestration at scale Experience running LLM-based or retrieval-based systems in production Experience operating specialized data stores, including graph databases Experience building internal tooling, templates, or reference implementations that other engineers adopted Onsite Collaboration Requirement: This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model. Why Join Us Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities. At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology. We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth. Get in on all the awesome at Instructure! We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect: Competitive compensation, plus all

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-infrastructure-engineer-ai-ml-systems-at-instructure-ed5309

Source: https://jobsbylevel.com/jobs/senior-infrastructure-engineer-ai-ml-systems-at-instructure-ed5309

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