Senior GenAI Platform Engineer - Orchestrating AI Agents

Quantum Technologies. LLC

Chicago (IL)

On-site

USD 150,000 - 210,000

Full time

19 hours ago
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Job summary

Quantum Technologies. LLC is building a scalable AI platform to design, deploy, and operate autonomous agents across diverse business domains. The platform provides enterprise-grade governance, security, observability, and a centralized gateway for AI models and tools.

The engineer will focus on agent harness engineering, automated evaluation, feedback loops, prompt and model evaluation, and resiliency to ensure reusable, production-grade capabilities across teams.

Qualifications

  • Experience designing agentic workflows and multi-agent orchestration.
  • Experience building enterprise-grade AI platforms with observability and governance.
  • Ability to implement centralized gateway for AI model interactions with security and policy enforcement.
  • Proven ability to create reusable platforms enabling teams across domains.
  • Focus on production-grade AI engineering: evaluation, guardrails, resiliency.

Responsibilities

  • Establish enterprise-grade observability across the platform with instrumentation and metrics.
  • Develop a centralized gateway for AI model interactions, tools, and external services with authentication, authorization and governance.
  • Ensure interoperability, security, governance, and reliability across teams building agents.
  • Create a reusable platform enabling multiple business domains to build, deploy, monitor and operate autonomous agents.

Skills

Agent orchestration
Observability
Security governance
API integration
Scalable architecture
Evaluation & feedback

Job description

Quantum Technologies. LLC is building a scalable AI platform to design, deploy, and operate autonomous agents across diverse business domains. The platform provides enterprise-grade governance, security, observability, and a centralized gateway for AI models and tools.

The engineer will focus on agent harness engineering, automated evaluation, feedback loops, prompt and model evaluation, and resiliency to ensure reusable, production-grade capabilities across teams.

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