Summary
✨ AI‑Generated
Work as a hands-on Applied AI Engineer developing and supporting high-visibility software projects. You will apply engineering expertise across multiple programming languages and modern frameworks, contribute to technical design, development, testing and integrations, and experiment with AI and agentic tools throughout the engineering lifecycle. The role requires approximately 3–5 years of overall experience and a focus on scalable, maintainable code.
Highlights
Hands-on opportunity to build and support high-visibility engineering projects while applying AI and agentic tools throughout the development lifecycle. The role offers exposure to modern frameworks, multiple programming languages, rapid experimentation, scalable software development, and cross-functional collaboration.
Description
Applied AI Engineer
Nashville, TN or Tampa, FL with hybrid set up (2-3 days on sight)
Job Description
We are looking for a motivated Applied AI Engineer with 3 to 5 years of overall experience to actively engage in the engineering craft, taking a hands-on approach to building and supporting high-visibility projects.
The role involves applying engineering expertise across multiple programming languages and modern frameworks while building hands-on experience using AI and agentic tools across the engineering lifecycle.
Responsibilities
Contribute to engineering solutions that solve complex customer and business problems.Support technical design, development, testing, integrations, and ongoing support.Participate in requirement analysis and component-level design.Maintain code quality, dependencies, architecture, and technical standards.Write high-quality, scalable and supportable code.Participate in code reviews.Support rapid experimentation and AI-built prototypes.Collaborate with product management, experience, and delivery teams.Apply AI and Agentic SSDLC practices.Use AI tools for code generation, review, testing, and documentation.Build domain-specific knowledge and translate business/user needs into technical specifications and code.Requirements
Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or related discipline.3–5 years of experience with one or more of:AngularReactNodeJSPythonC#.NETJavaSQL/NoSQLPyTorchTensorFlowLangChainLangGraph1+ year building AI/ML applications.Hands-on GenAI exposure including:LLM integrationOpenAI / Anthropic / open-source modelsRAG pipelinesPrompt engineeringVector databases1+ year cloud-native engineering experience with Azure, AWS, or GCP.Exposure to Azure OpenAI, AWS Bedrock, or Vertex AI.Understanding of OOP/OOD, data structures, algorithms and engineering practices.Exposure to Agile, DevSecOps, GitHub, SonarQube, MLflow or agentic AI frameworks is a plus.Ability to work in the local office a minimum of 3 days per week.0–10% travel.
