GenAI Software Engineer: Build AI-Driven, Scalable Apps

N2P Systems; Nashville (TN); Hybrid; USD 110,000 - 165,000; Full time

Job summary

N2P Systems is seeking a hands-on Applied AI Engineer with 3–5 years of software engineering experience to build AI/ML and Generative AI applications. You will apply GenAI, LLMs, RAG, prompt engineering, and agentic development practices across the SDLC to deliver scalable solutions that meet business needs.

You will collaborate with product, engineering, and cross-functional teams to design, develop, test, deploy, and support AI-enabled software that adds measurable value to customers and the

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related technical discipline.
• 3–5 years of software engineering experience with one or more of: Python, Java, C# / .NET, Node.js, React / Angular, SQL / NoSQL, PyTorch / TensorFlow.
• Hands-on experience building AI/ML applications and Generative AI technologies (OpenAI, RAG, LLMs).
• Cloud-native engineering experience on Azure, AWS, or GCP; familiarity with AI/ML services.

Responsibilities

• Design, develop, test, integrate, deploy, and support software components and AI-enabled applications.
• Participate in requirements analysis and component-level technical design.
• Build scalable, maintainable, and high-quality software using modern programming languages and frameworks.
• Apply AI and Agentic SSDLC practices across development, testing, deployment, and maintenance.
• Leverage AI tools for code generation, code review, testing, debugging, documentation, and developer productivity.
• Develop and integrate Generative AI/LLM solutions, including LLM APIs, RAG pipelines, prompt engineering, and vector-based retrieval.
• Contribute to rapid prototyping and experimentation, including AI-assisted prototypes and proofs-of-concepts.
• Work with cloud-native architectures, microservices, FaaS/PaaS, and AI/ML services across Azure, AWS, or GCP.
• Collaborate with product management, engineering, experience, and delivery teams to translate business needs into technical solutions.
• Contribute to automated deployments and quality checks throughout the engineering lifecycle.

Skills

Python

Java

C# / .NET

Node.js

React / Angular

SQL / NoSQL

PyTorch / TensorFlow

LangChain / LangGraph

Unit testing frameworks

OpenAI / LLMs

Cloud-native engineering

Azure / AWS / GCP

API design

Code generation / review tools

DevSecOps / Agile

Education

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Machine Learning

Tools

GitHub

Azure DevOps (ADO)

SonarQube

MLflow

Job description

N2P Systems is seeking a hands-on Applied AI Engineer with 3–5 years of software engineering experience to build AI/ML and Generative AI applications. You will apply GenAI, LLMs, RAG, prompt engineering, and agentic development practices across the SDLC to deliver scalable solutions that meet business needs.

You will collaborate with product, engineering, and cross-functional teams to design, develop, test, deploy, and support AI-enabled software that adds measurable value to customers and the