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AI Platform Engineer

Remote / Online - Candidates ideally in
Wisconsin, USA
Listing for: SCALIS
Remote/Work from Home position
Listed on 2026-07-10
Job specializations:
  • Software Development
Job Description & How to Apply Below

Cinteot Inc. is a small IT services company that specializes in cybersecurity, Big Data/databases, software development, systems testing, STIG Compliance training, closed‑circuit television/security cameras and access controls, and construction/facilities.

We are a Woman‑owned, SBA Certified 8(a), and HUBZone company.

Location:

Reston, Virginia, United States

AI Platform Engineer

The AI Platform Engineer builds, hardens, and helps operate the enterprise GenAI/agentic platform that enables teams to safely develop and run AI agents  role owns the platform foundations—including LLM gateway & model routing, vector/knowledge base infrastructure, CI/CD and IaC automation, observability, and cost/usage management—so Dev teams can deliver agents quickly under consistent governance and controls.

Key Responsibilities
  • Engineer and maintain the platform’s foundational capabilities: LLM gateway, model routing, shared compute/infrastructure, and platform governance controls.
  • Onboard and support new platform capabilities and tools used by agents.
  • Provision and manage platform resources needed to scale agent development.
  • Build and maintain Terraform (or equivalent) IaC to create and update platform resources and dashboards.
  • Own and operate platform pipelines: execute Terraform and backend/frontend pipelines, troubleshoot deployments, and improve delivery reliability.
  • Provide platform support for agent teams by diagnosing platform‑related issues.
  • Implement and maintain monitoring for performance, quality, and agent behavior over time.
  • Own platform cost and usage management practices.
  • Collaborate with Security, Architecture, and Governance partners to ensure platform controls align with enterprise policies.
Required Qualifications
  • Bachelor’s degree in computer science, engineering, information systems, or a related discipline, or equivalent experience.
  • Demonstrated experience designing and operating shared application or platform services in an enterprise environment.
  • Experience with CI/CD pipelines, automation, and infrastructure provisioning.
  • Working knowledge of modern AI/ML or GenAI platforms and cloud‑based services.
  • Strong understanding of operational reliability, monitoring, and support practices.
  • Experience supporting AI, ML, or GenAI platforms in regulated industries.
  • Familiarity with agent‑based architectures, LLM model integration, and AI platform patterns.
  • Experience with cloud cost management, usage monitoring, or Fin Ops practices.
  • Professional cloud or AI‑related certifications (AWS, Azure, or equivalent).
  • Flexible remote work environment.
Company Culture & Benefits
  • Health insurance.
  • Vision insurance.
  • 401(k) matching.
  • Paid time off (PTO).
  • Paid holidays.
  • Life insurance.
  • Birthday PTO.
  • Education reimbursement.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and career growth.
  • Complete insurance coverage.
  • 401(k) with company contribution.
  • Tuition reimbursement.
  • Generous paid time off (including birthday).
Cribl Engineer

The Cribl Engineer is a senior technologist responsible for observability pipelines built on Cribl Stream and Cribl Edge. The role shapes pipeline strategy, designs complex routing and transformation logic, drives platform reliability, mentors senior engineers, and serves as the top technical escalation point.

Key Responsibilities
  • Lead architecture and design for Cribl Stream/Edge across multiple enclaves and data domains.
  • Build high throughput pipelines with advanced routing, filtering, enrichment, and replay workflows.
  • Optimize system performance, worker topology, CPU/memory distribution, queues, and transport mechanisms.
  • Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls.
  • Integrate pipelines with SIEM/analytics ecosystems.
  • Develop HA/DR patterns, reliability frameworks, fleet health metrics, and failure mode response processes.
  • Maintain reusable Cribl packs, shared patterns, runbooks, and operational standards.
  • Serve as senior escalation point for Cribl issues; interface with vendor engineering.
  • Mentor engineers, conduct design reviews, drive engineering excellence, and enforce architectural standards.
  • Support cross‑functional…
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