Job Description & Details
This is a heavy-hitting Applied AI Engineer gig requiring over a decade of technical background, specifically centered on enterprise-grade Generative AI and LLM implementations. You won't just be tinkering with prompts here; you'll be architecting production systems involving RAG, vector databases, and multi-agent orchestration frameworks while navigating complex enterprise governance.
What You'll Actually Be Doing
You will spend your days bridging the gap between cutting-edge AI research and robust enterprise software engineering. Expect to design, deliver, and support AI-enabled applications using platforms like Azure OpenAI and various orchestration tools. Your reality will involve wrestling with data ingestion pipelines, optimizing retrieval-augmented generation architectures, ensuring responsible AI practices, and occasionally traveling to Tampa or Nashville for crucial alignment sessions.
The Core Tech Stack
You need a deep mastery of Python and/or .NET, paired with hands-on experience in modern cloud-native architectures on Azure, AWS, or GCP. The non-negotiable heartbeat of this role involves vector databases, LLM orchestration frameworks like LangChain or LangGraph, and enterprise AI platforms. Because you're dealing with production-grade systems, a solid grasp of DevSecOps pipelines, API design, and microservices is just as critical as your ability to fine-tune prompts or evaluate model outputs.
Interview Expectations
Expect the hiring team to grill you on handling hallucinations and drift in production RAG systems, likely asking you to whiteboard a complete architecture for a secure, low-latency enterprise chatbot. They are secretly testing whether you understand the operational reality of cloud costs and security guardrails, or if you're just someone who knows how to call an OpenAI API wrapper in a Jupyter notebook.
Application Advice
Skip the generic software engineering fluff and make sure your resume explicitly calls out production deployments involving LLMs, vector search, and Azure cloud services. Mirror the exact terminologies from the description—such as Responsible AI, agentic frameworks, and microservices—to ensure your profile clears their ATS, but be ready to back every single buzzword up with a tangible war story during the tech screen.