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# Applied AI Engineer (Full Stack AI Developer)

- **Company:** N2P SYSTEMS INC
- **Location:** Tampa, FL, United States
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), .NET Framework, Agile Methodology, Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Data Structures, Entity Relationship Models, Github, Python (Programming Language), Machine Learning, Node.Js, NoSQL, Object-Oriented Software Development, Platform as a Service (PAAS), OpenAI, Tensorflow, Azure Machine Learning, Software Engineering, Software Systems, SonarQube, SQL Databases, Web Application Frameworks, Pytorch, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, AngularJS, LangSmith, Information Technology, Machine Learning Operations, Devsecops, Programming Languages, Microservices
- **Published:** November 9, 2026
- **Apply:** https://www.thejobnetwork.com/job/903f6db4-527a-4e47-a9cf-22ac462f71b0/applied-ai-engineer-full-stack-ai-developer

## About the Role

The ideal candidate is a collaborative team player eager to learn, grow, and contribute, working with cross-functional teams to design, develop, and deploy software solutions, while building hands-on experience using AI and agentic tools across the engineering lifecycle., * Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline.
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 * 3 to 5 years of experience with one or more of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
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 * 1+ years of experience building AI/ML applications, with hands-on GenAI exposure across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, or vector databases.
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 * 1+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including exposure to their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
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 * Working knowledge of engineering standards and best practices, with a willingness to learn and adopt new standards under guidance.
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 * Understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, and algorithms.
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 * Exposure to methodologies and tools such as Agile, DevSecOps, ADO, GitHub, SonarQube, MLflow, or agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent) is a plus.
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 * Ability to work in your local office at a minimum of 3 days per week., * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
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 * Ability to work independently and collaborate as part of a team.
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 * Effective written and verbal communication skills.
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 * Meticulous attention to detail and quality of work product.
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 * Ability to build and sustain professional relationships.
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 * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
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 * Strong interpersonal skills and professional demeanor.
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 * Ability to meet deadlines.
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 * Eagerness to learn and receive mentorship from senior team members.
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## Description

We are looking for a motivated Applied AI Engineer with 3 to 5 years of overall experience to actively engage in the engineering craft, taking a hands-on approach to building and supporting high-visibility projects. Your contributions will help deliver solutions that delight customers and users, while driving tangible value for business investments. You will apply your growing engineering expertise across multiple programming languages and modern frameworks, consistently delivering quality, outcome-focused work.