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Artificial Intelligence; AI) Engineer

Job in Knoxville, Knox County, Tennessee, 37901, USA
Listing for: Robert Half
Full Time position
Listed on 2026-10-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Job Description & How to Apply Below
Position: Artificial Intelligence (AI) Engineer
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building production-ready AI solutions that combine agentic workflows, scalable backend engineering, and modern web application development. The ideal candidate will bring deep experience across AI system design, API development, cloud-based services, and cross-functional collaboration to deliver reliable, high-impact products.

Responsibilities:
• Lead full product development efforts from initial architecture through deployment and ongoing enhancement of AI-driven applications.
• Design and implement advanced agentic AI systems that support reasoning, planning, memory, tool usage, and multi-step task execution.
• Build, test, and maintain scalable backend services and APIs using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.
• Create and support RESTful and GraphQL interfaces that connect AI capabilities with web applications, enterprise platforms, and external services.
• Develop React-based user interface components and ensure smooth interaction between frontend experiences and backend systems.
• Architect microservices and distributed application patterns that improve scalability, resiliency, and maintainability across production environments.
• Establish evaluation, observability, and monitoring practices to measure AI system quality, reliability, latency, cost efficiency, and operational health.
• Collaborate with product, design, Dev Ops, data science, and engineering teams to translate business goals into secure, scalable technical solutions.
• Drive deployment automation, containerization, troubleshooting, and performance optimization across cloud-hosted applications and AI services.
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