AI Platform Engineer

Sr. AI Platform Engineer

Chicago, IL (Hybrid – 3 days’ Work from Office)

Need Locals F2F Mandatory

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.

Experience: -

8+ Years

Location: -

Chicago, IL (Hybrid – 3 days’ Work from Office)

Duration: -

Contract role with CitiusTech

Educational Qualifications: -

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

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