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# Sr. GenAI Engineer

- **Company:** Robotics Technologies LLC
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Microsoft Azure, Interoperability, Python (Programming Language), Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Model Validation, Agentic-AI, AI Platforms, Performance Monitor
- **Published:** October 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6e0e8d70f7a0ec3a

## About the Role

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

## 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.