Applied AI Engineer

N2P Systems; Nashville (TN); Hybrid; USD 120,000 - 180,000; Full time

Job summary

N2P Systems in Nashville/Tampa hybrid role seeks an Applied AI Engineer with 3–5 years in software engineering and hands-on AI experience. You will design, build, test, and deploy scalable AI-powered applications, integrating LLMs and leveraging RAG and vector databases.

Candidates should be proficient in Python and at least one of Java/C#/Node.js, with cloud-native experience on Azure/AWS/GCP. Collaboration with cross-functional teams is essential.

Qualifications

• Bachelor's degree in CS, SE, DS, ML or related field.
• 3–5 years of software engineering experience.
• At least 1 year building AI/ML or Generative AI apps.
• Strong Python, Java/C#, Node.js, React/Angular, or SQL/NoSQL.
• Experience with RAG, vector DBs, and semantic search.
• 1+ year cloud-native engineering with Azure/AWS/GCP.
• Familiarity with REST, OOP, data structures, algorithms.
• Testing, version control, and code quality practices.

Responsibilities

• Design, develop, test, and maintain scalable software applications and AI-powered solutions.
• Integrate LLMs from providers such as OpenAI, Anthropic, or open-source platforms.
• Develop and support Generative AI apps using RAG, prompt engineering, and vector DBs.
• Build APIs, microservices, and cloud-native apps using modern languages/frameworks.
• Participate in design, requirements, code reviews, testing, and production support.
• Apply AI-assisted development tools for code generation, debugging, testing, reviews, and documentation.
• Explore and implement agentic AI workflows using LangChain and LangGraph.
• Support automated deployments and CI/CD quality, security, testing checks.
• Collaborate with product managers, designers, and engineers to translate requirements.
• Follow best practices for code quality, scalability, security, performance, maintainability.
• Participate in rapid prototyping and experimentation to validate AI solutions.
• Communicate progress, blockers, and trade-offs effectively.

Skills

Python

Java/C#/.NET

Node.js

React/Angular

SQL/NoSQL

RAG

Vector databases

REST APIs

CI/CD

Unit testing

Cloud-native

Education

Bachelor's degree

Tools

LangChain

LangGraph

LangSmith

LangFuse

MLflow

Job description

The candidates will need to be local to either Nashville, TN or Tampa, FL with hybrid set up (2-3 days on sight).

Travel: 0–10%

Job Overview

We are seeking a motivated and hands-on Applied AI Engineer with 3–5 years of software engineering experience and practical exposure to Generative AI and agentic AI technologies. The ideal candidate will contribute to designing, developing, testing, and deploying scalable software solutions that leverage AI to solve real-world business problems.

The candidate should have strong programming fundamentals, experience integrating Large Language Models (LLMs), and exposure to cloud-native application development. This role offers an opportunity to collaborate with cross-functional teams, experiment with emerging AI technologies, and implement AI-enabled engineering practices throughout the software development lifecycle.

Key Responsibilities

• Design, develop, test, and maintain scalable software applications and AI-powered solutions.
• Integrate LLMs from providers such as OpenAI, Anthropic, or open-source platforms into business applications.
• Develop and support Generative AI applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Build APIs, microservices, and cloud-native applications using modern programming languages and frameworks.
• Participate in technical design, requirement analysis, code reviews, testing, and production support.
• Apply AI-assisted development tools for code generation, debugging, testing, code reviews, and documentation.
• Explore and implement agentic AI workflows using frameworks such as LangChain and LangGraph.
• Support automated deployments and integrate quality, security, and testing checks into CI/CD pipelines.
• Collaborate with product managers, designers, and engineering teams to translate business requirements into technical solutions.
• Follow software engineering best practices for code quality, scalability, security, performance, and maintainability.
• Participate in rapid prototyping and experimentation to validate AI-driven solutions.
• Communicate technical progress, blockers, and implementation trade-offs effectively.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related field.
• 3–5 years of overall software engineering or application development experience.
• At least 1 year of hands-on experience building AI/ML or Generative AI applications.
• Strong programming experience in one or more of the following:
• Python
• Java or C#/.NET
• Node.js
• React or Angular
• SQL/NoSQL databases
• Practical experience with one or more of the following:
• Retrieval-Augmented Generation (RAG)
• Vector databases and semantic search
• At least 1 year of exposure to cloud-native engineering using Azure, AWS, or GCP.
• Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Understanding of REST APIs, microservices, object-oriented programming, data structures, algorithms, and software design principles.
• Experience with unit testing, debugging, version control, and code quality practices.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Strong analytical, communication, problem-solving, and time-management skills.

Preferred Qualifications

• Exposure to agentic AI frameworks such as LangChain, LangGraph, or equivalent tools.
• Familiarity with LangSmith, LangFuse, MLflow, or similar AI observability and experiment-tracking platforms.
• Experience with Agile methodologies, DevSecOps, GitHub, Azure DevOps (ADO), or SonarQube.
• Familiarity with CI/CD pipelines, automated testing, and cloud deployment practices.
• Experience using AI coding assistants and AI-enabled software development lifecycle (SDLC) tools.
• Understanding of architecture diagrams, sequence diagrams, data-flow diagrams, and entity-relationship diagrams.

Work Requirements

• Ability to work from the local office at least 3 days per week.
• Willingness to travel up to 10%, depending on project and client requirements.
• Limited immigration sponsorship may be available.
• Ability to manage multiple priorities and deliver quality solutions within project timelines.