AI Engineer (Agentic AI Applications)

Client is a technology centered educational support entity based out of Kansas Long term contract Location: Kansas (Onsite) Role: Hands-on technical leader responsible for end-to-end delivery and architecture of scalable, production-grade Agentic AI applications (LLMs/SMLs) for digital learning experiences. This is a driver role focusing on execution, technical standards, and cross-functional partnership. Key Responsibilities • Delivery & Leadership: Own the timely, high-quality execution of AI engineering initiatives. Lead, mentor, and set technical standards for the AI team. • AI Solution Development: Architect and build distributed, production-grade backend systems for Agentic AI (automation, reasoning, content generation) applications. • Collaboration: Partner with TPOs, TPMs, and Platform Engineering to define scope, metrics, and optimize infrastructure. • Innovation: Drive innovation with LLMs, SMLs, RAG, and Agentic AI frameworks, balancing new tech with reliable delivery. Required Expertise • Experience: 7+ years in software/AI engineering, including 2+years in a technical leadership/architecture role with a proven delivery track record. • Technical Stack: Deep expertise in Python, FastAPI, Distributed Systems/Microservices, and Azure Cloud. • AI Proficiency: Hands-on experience with production-grade LLMs/SMLs, RAG, vector databases, and Agentic AI frameworks (e.g., LangChain, LangGraph). • Deployment & Ops: Mastery of Kubernetes, Docker, CI/CD pipelines, and DevOps/Observability best practices (e.g., Datadog). • Leadership: Demonstrated success managing project delivery, coordinating teams, and clarifying ambiguity.