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).

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.

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 . xhyhwjd
• 0–10% travel.