> Markdown version of [/jobs/ext/3774786-artificial-intelligence-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3774786-artificial-intelligence-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence (AI) Engineer - **Company:** Robert Half - **Location:** Knoxville, TN, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, DevOps, Distributed Systems, Django Web Framework, Amazon DynamoDB, Human-Computer Interaction, Python (Programming Language), PostgreSQL, MongoDB, MySQL, Node.Js, NoSQL, Performance Tuning, Software Engineering, Web Applications, Web Application Frameworks, LangChain, ReactJS, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Agentic-AI, Fastapi, Containerization, AI Platforms, Low Latency, Deployment Automation, Data Analytics, AutoGen, Graphql, Front End Software Development, Virtual Agents, Asynchronous Programming, Api Design, NestJS, Restful APIs, Semantic Kernel, Microservices - **Published:** October 16, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3451605085&tx=KJ9999FFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Requirements - 7+ years of experience in software engineering, including delivery of production-grade applications and services. * Strong hands-on programming expertise in Python or Node.js, with the ability to build maintainable and well-documented systems. * Experience developing AI-enabled solutions involving large language models, generative AI concepts, embeddings, prompt design, or agent-based workflows. * Proficiency with React and modern frontend integration patterns for data-driven web applications. * Solid understanding of API design, asynchronous programming, microservices, and distributed system architecture. * Experience working with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or DynamoDB. * Familiarity with frameworks and tools used for AI orchestration, such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar technologies. * Strong communication, analytical thinking, and teamwork skills, with the ability to manage competing priorities in a fast-paced environment. Technology Doesn't Change the World, People Do., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. ## Description * 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, DevOps, 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.