Applied AI Engineering Lead

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:
• Angular
• React
• NodeJS
• Python
• C#
• .NET
• Java
• SQL/NoSQL
• PyTorch
• TensorFlow
• LangChain
• LangGraph
• Unit testing frameworks
• 2+ years building AI/ML applications.
• Hands-on GenAI experience with:
• LLM integration
• OpenAI / Anthropic / open-source models
• RAG
• Prompt engineering
• Vector databases
• 2+ 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.