Sr. GenAI Engineer

Quantum Technologies. LLC; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

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

• The platform should enable teams to build, deploy, and operate AI agents using a variety of development approaches and frameworks while providing a standardized enterprise foundation for orchestration, integration, governance, security, and observability.
• The engineer should have experience designing agentic workflows and multi-agent orchestration, including both event-driven and workflow-based patterns. The platform should support scalable communication and coordination between agents, enterprise systems, tools, APIs, and diverse data sources.
• A key responsibility will be establishing enterprise-grade observability across the platform, including centralized instrumentation, tracing, operational metrics, performance monitoring, error tracking, and visibility into agent execution and behaviour.
• The platform should also provide a centralized gateway for AI model interactions, agent tools, and external services, ensuring consistent security, governance, authentication and authorization, access control, throttling, monitoring, and policy enforcement.
• The ideal engineer will have experience building scalable, extensible, and technology-agnostic AI platforms that allow different teams and business domains to develop agents independently while adhering to common enterprise standards for interoperability, security, governance, reliability, and operational management.
• The role should also focus on building production-grade AI engineering capabilities, including Agent Harness Engineering, automated and closed-loop evaluation, feedback loops, prompt and model evaluation, observability, guardrails, resiliency, and continuous improvement mechanisms. The goal is to create a reusable platform where multiple business domains can build, deploy, monitor, and operate autonomous agents using standardized enterprise patterns rather than creating isolated agent solutions.

Skills :

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.