Applied AI Engineering Lead (Nashville)
N2P Systems
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.
Vacancy posted 1 day ago
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