Gen AI Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC seeks a Gen AI Engineer to design and build an enterprise-grade AI agent platform enabling scalable multi-agent orchestration, model gateways, observability, governance, and automated evaluation frameworks for production-ready autonomous AI solutions across government domains.

The ideal candidate will drive enterprise standards for interoperability, security, governance, reliability, and operational management while enabling teams to develop agents independently

Qualifications

• Experience designing scalable AI platforms for enterprise use.
• Ability to build agentic workflows and multi-agent orchestration.
• Experience with observability, security, and governance of AI systems.

Responsibilities

• Design and build an enterprise-grade AI agent platform for scalable multi-agent orchestration.
• Develop model gateways, observability, governance, and secure authentication/authorization.
• Create centralized gateway for AI model interactions and external services.
• Build production-grade AI engineering capabilities and automated evaluation loops.

Skills

RAG Pipeline

LLM

Enterprise Applications

AgenticAI

Python

Azure

Job description

Job Overview

Job ID: J53474

Job Title: Gen AI Engineer

Location: Chicago, IL

Duration: 12 Months + Extension

Domain Exposure: Government

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Description

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.

Skills

• RAG Pipeline
• LLM
• Enterprise Applications
• AgenticAI
• Python
• Azure

Equal Opportunity Employer

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.