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NEORIS

NEORIS is a Digital Accelerator that helps companies step into the future.

AI Platform Engineer

Platform EngineerPlatform EngineerFull TimeRemoteSeniorTeam 1,001-5,000H1B No SponsorCompany SiteLinkedIn

Location

Spain

Posted

17 days ago

Salary

0

Seniority

Senior

Postgraduate DegreeEnglishAWSCloudPythonTerraform

Job Description

AI Platform Engineer

NEORIS

• Define and evolve the target architecture and roadmap for enterprise‑scale Data and AI platforms, covering experimentation, training, feature management, model registry, CI/CD, serving, and observability. • Design and build multi‑tenant, multi‑region, highly available AI platforms with clear governance and guardrails. • Partner with product management to define platform vision, backlogs, OKRs, and golden paths that enable self‑service from ideation to production. • Lead capacity planning and cost optimization strategies for GPU and CPU workloads, driving performance and scalability for distributed training and inference. • Integrate AI platforms with enterprise data ecosystems to enable governed, reproducible, and scalable ML pipelines. • Act as a technical leader, translating complex platform concepts into clear value propositions for senior stakeholders across R&D, Commercial, and Operations.

Job Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related quantitative field.
  • Proven experience as a platform or infrastructure engineer supporting ML/AI at scale.
  • Hands‑on experience with Domino Data Lab.
  • Strong experience with AWS (or equivalent cloud providers), including compute, storage, networking, IAM, and cost management.
  • Production experience administering EKS clusters, including GPU workloads, operators, storage classes, and service mesh.
  • Strong Python development experience, especially for platform automation and tooling.
  • Solid background in Infrastructure as Code (Terraform, CloudFormation or similar).
  • Experience with MLOps practices: model pipelines, lifecycle management, CI/CD, and monitoring.
  • Experience with LLM serving, RAG architectures, vector databases, prompt safety, and token‑aware scaling.
  • Experience designing and operating agentic systems, including multi‑agent orchestration, tool/action frameworks, safety guardrails, and evaluation of reliability and cost.

Benefits

  • Permanent contract with a competitive salary.
  • Flexible working model with remote work options.
  • Personalized career path and continuous learning (certifications, English training, etc.).
  • Participation in stable, long‑term projects with high technical complexity.
  • Flexible working hours and strong work‑life balance focus.
  • Social benefits package tailored to your needs.

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