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AI Software Engineer Nashville, TN
Job in
Nashville, Davidson County, Tennessee, 37201, USA
Listed on 2026-09-04
Listing for:
Robert Half
Full Time
position Listed on 2026-09-04
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software, Backend Developer
Job Description & How to Apply Below
AI Software Engineer
Robert Half is seeking an innovative AI Software Engineer to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments.
This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.
Key Responsibilities- AI Application Development:
Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices. - LLM Integration:
Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. - Machine Learning Solutions:
Build, train, evaluate, and deploy machine learning models to solve business challenges. - Software Engineering:
Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/Type Script. - Data Processing:
Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications. - Cloud Deployment:
Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform. - Model Optimization:
Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security. - Collaboration:
Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals. - Documentation:
Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes. - Research & Innovation:
Stay current on emerging AI technologies, frameworks, and industry best practices.
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