Gen AI Engineer

Robotics Technologies; Chicago (IL); On-site; USD 140,000 - 170,000; Full time

Job summary

Robotics Technologies in Chicago, IL is hiring a Gen AI Engineer to build an enterprise-grade AI agent platform for scalable multi-agent orchestration and production-ready autonomous AI solutions.

You will design agentic workflows, develop a centralized gateway for model interactions, and implement observability, governance, and security with automated evaluation frameworks, serving enterprise clients across government domain.

Qualifications

• Experience designing agentic workflows and multi-agent orchestration, including event-driven patterns.
• Experience building enterprise-grade observability with instrumentation, tracing, metrics, and error tracking.
• Experience creating a centralized gateway for AI model interactions, tools, and services with security and governance.

Responsibilities

• Design and build an enterprise AI agent platform for scalable multi-agent orchestration and governance.
• Support teams deploying AI agents and providing a standardized orchestration foundation.
• Develop agentic workflows and event/workflow-based patterns for production readiness.

Skills

RAG Pipeline

LLM

Enterprise Applications

AgenticAI

Python

Azure

Job description

Robotics Technologies is hiring a Gen AI Engineer to build an enterprise-grade AI agent platform for scalable multi-agent orchestration and production-ready autonomous AI solutions in Chicago.

Responsibilities

• Design and build an enterprise AI agent platform for scalable multi-agent orchestration, agentic workflows, model gateways, observability, governance, and security, backed by automated evaluation frameworks.
• Support teams in building, deploying, and operating AI agents using multiple development approaches while delivering a standardized foundation for orchestration, integration, governance, security, and observability.
• Design agentic workflows and multi-agent orchestration, including event-driven and workflow-based patterns.
• Implement enterprise-grade observability with centralized instrumentation, tracing, operational metrics, performance monitoring, error tracking, and visibility into agent execution and behavior.
• Develop a centralized gateway for AI model interactions, agent tools, and external services, including security, governance, authentication and authorization, access control, throttling, monitoring, and policy enforcement.
• Create scalable, extensible, technology-agnostic AI platform capabilities so different teams and business domains can develop agents independently while adhering to shared standards for interoperability, security, governance, reliability, and operational management.
• Build 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.

Requirements

• Experience designing agentic workflows and multi-agent orchestration, including both event-driven and workflow-based patterns.
• Experience establishing enterprise-grade observability: centralized instrumentation, tracing, operational metrics, performance monitoring, error tracking, and visibility into agent execution and behavior.
• Experience providing a centralized gateway for AI model interactions, agent tools, and external services, including security, governance, authentication and authorization, access control, throttling, monitoring, and policy enforcement.
• Experience building scalable, extensible, technology-agnostic AI platforms that enable independent agent development across teams and domains while meeting enterprise standards for interoperability, security, governance, reliability, and operational management.
• Experience focused on production-grade AI engineering capabilities: Agent Harness Engineering, automated and closed-loop evaluation, feedback loops, prompt and model evaluation, observability, guardrails, resiliency, and continuous improvement mechanisms.
• Skills: RAG Pipeline, LLM, Enterprise Applications, AgenticAI, Python, Azure.

Technology Stack

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

Job Details

• Job ID: J53474
• Location: Chicago, IL (onsite)
• Duration: 12 Months + Extension
• Domain Exposure: Government
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later