Summary
✨ AI‑Generated
An experienced Applied AI Engineering Lead is sought for a hands-on leadership role across multiple high-visibility projects. You will drive requirements, architecture, component design, development, testing, integrations, and ongoing operations while applying modern engineering practices and AI and agentic tools.
Highlights
Hands-on technical leadership across high-visibility projects, with substantial ownership of architecture, development, integrations, operations, and modern AI-enabled engineering practices.
Description
Applied AI Engineering Lead
The candidates will need to be local to either Nashville, TN or Tampa, FL with hybrid set up (2-3 days on sight).
Job Description
We are looking for an experienced Applied AI Engineering Lead with 6 to 8 years of overall experience to actively engage in the engineering craft and take a hands-on approach to multiple high-visibility projects.
The role focuses on delivering high-quality, outcome-focused solutions while leveraging AI and agentic tools across the engineering lifecycle.
Responsibilities
Drive engineering solutions that deliver customer and business outcomes.Serve as a technical advocate for products.Lead requirement analysis, low-level architecture, component design, development, testing, integrations and support.Maintain architecture and technical-stack integrity.Manage dependencies, code design, implementation, quality, data and ongoing operations.Remain hands-on with modern languages, frameworks and AI-enabled engineering practices.Create technical specifications and scalable code.Review code and mentor other engineers.Develop AI-built prototypes for rapid experimentation.Collaborate with customers, product teams and cross-functional teams.Apply AI and Agentic SSDLC practices.Use AI tools for code generation, review, testing and documentation.Requirements
Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or related discipline.6–8 years of experience with most of:AngularReactNodeJSPythonC#.NETJavaSQL/NoSQLPyTorchTensorFlowLangChainLangGraphUnit testing frameworks2+ years building AI/ML applications.Hands-on GenAI experience with:LLM integrationOpenAI / Anthropic / open-source modelsRAGPrompt engineeringVector databases2+ years cloud-native engineering with Azure, AWS or GCP.Experience with Azure OpenAI, AWS Bedrock or Vertex AI.Experience establishing engineering standards and mentoring team members.Knowledge of OOP/OOD, data structures, algorithms, system/data-flow diagrams.Experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow.Experience with agentic AI frameworks such as LangFuse, LangSmith or equivalent.Ability to work in the local office a minimum of 3 days per week.0–10% travel.
