Applied AI Engineering Lead

Job 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

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• Drive engineering solutions that deliver customer and business outcomes.
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• Serve as a technical advocate for products.
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• Lead requirement analysis, low-level architecture, component design, development, testing, integrations and support.
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• Maintain architecture and technical-stack integrity.
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• Manage dependencies, code design, implementation, quality, data and ongoing operations.
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• Remain hands-on with modern languages, frameworks and AI-enabled engineering practices.
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• Create technical specifications and scalable code.
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• Review code and mentor other engineers.
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• Develop AI-built prototypes for rapid experimentation.
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• Collaborate with customers, product teams and cross-functional teams.
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• Apply AI and Agentic SSDLC practices.
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• Use AI tools for code generation, review, testing and documentation.
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Requirements

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• Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or related discipline.
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• 6–8 years of experience with most of:
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• Angular
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• React
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• NodeJS
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• Python
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• C#
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• .NET
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• Java
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• SQL/NoSQL
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• PyTorch
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• TensorFlow
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• LangChain
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• LangGraph
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• Unit testing frameworks
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• 2+ years building AI/ML applications.
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• Hands-on GenAI experience with:
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• LLM integration
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• OpenAI / Anthropic / open-source models
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• RAG
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• Prompt engineering
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• Vector databases
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• 2+ years cloud-native engineering with Azure, AWS or GCP.
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• Experience with Azure OpenAI, AWS Bedrock or Vertex AI.
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• Experience establishing engineering standards and mentoring team members.
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• Knowledge of OOP/OOD, data structures, algorithms, system/data-flow diagrams.
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• Experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow.
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• Experience with agentic AI frameworks such as LangFuse, LangSmith or equivalent.
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• Ability to work in the local office a minimum of 3 days per week .
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• 0–10% travel.
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