Gen AI Engineer

Machine Learning Technologies, LLC; Chicago (IL); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

Machine Learning Technologies, LLC in Chicago seeks an AI Agent Platform Engineer to design and build an enterprise-grade platform enabling scalable multi-agent orchestration, model gateways, observability, governance, and secure evaluation frameworks for production-ready autonomous AI solutions across business domains.

You will implement agentic workflows, event- and workflow-driven patterns, centralized model interaction gateway, and end-to-end security and policy enforcement.

Qualifikationen

• Experience designing enterprise-grade AI platforms.
• Experience with multi-agent orchestration and agentic workflows.
• Knowledge of observability, security, and governance for AI systems.

Aufgaben

• Design and build a scalable AI agent platform for orchestration across enterprise systems and data sources.
• Develop patterns for event-driven and workflow-based agent coordination and ensure secure model interactions.
• Implement centralized observability, metrics, tracing, and policy enforcement across the platform.

Jobbeschreibung

We are seeking a highly skilled AI Agent Platform Engineer: Design and build an enterprise-grade AI agent platform enabling scalable multi-agent orchestration, agentic workflows, model gateways, observability, governance, security, and automated evaluation frameworks to support production-ready autonomous AI solutions across multiple business domains.

Mandatory skills:
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.

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.