02 set - Udine
Talentola
What is in it for you?
Seeking an GenAI Engineer with expertise in GenAI, RAG pipelines, Agentic AI, Python, Knowledge Graphs, APIs, and orchestration frameworks to build enterprise-scale, secure, observable, and governed multi-agent platforms enabling autonomous AI solutions through standardized orchestration, evaluation, monitoring, and operational excellence.
Experience: -
8+ Years
Location: -
Edina, MN
Chicago, IL
Hybrid 3 days' Work from Office
Duration: -
C2H with client
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
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 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 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.
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 d
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