Applied AI Engineer
Role Overview
N2P Systems is seeking an experienced Applied AI Engineer to join our enterprise technology delivery team in Nashville, TN or Tampa, FL. At N2P Systems, you will put 3-5 years of hands-on experience with AI/ML, Generative AI and LLM Integration to work on mission-critical enterprise systems. This is an existing contract, hybrid vacancy with N2P Systems.
We are seeking a hands-on Applied AI Engineer with 3–5 years of professional software engineering experience to build and support high-visibility software and AI-driven solutions. This role sits at the intersection of software engineering, Generative AI, and agentic AI, with responsibility across the full engineering lifecycle from requirements and technical design through development, testing, integration, deployment, and ongoing support.
The engineer will apply modern AI technologies to accelerate engineering productivity and deliver scalable, maintainable, and production-ready solutions.
N2P Systems uses AI to help screen and assess applications for this role. N2P Systems is an enterprise technology consulting and digital solutions firm operating across Canada, the United States and India.
Key Responsibilities
- Design, develop, test, integrate, deploy, and support scalable software and AI-driven solutions.
- Translate business and technical requirements into effective technical solutions and working software.
- Build and support AI/ML and Generative AI applications, including rapid prototypes and proof-of-concepts.
- Apply AI and Agentic AI practices across the software development lifecycle.
- Use AI-powered engineering tools for code generation, code reviews, testing, debugging, and technical documentation.
- Contribute to component-level and technical architecture decisions while maintaining engineering, architecture, dependency, and coding standards.
- Participate in code reviews and continuous improvement of engineering quality and delivery practices.
- Collaborate with product management, engineering, experience, and delivery teams to deliver business-focused technical solutions.
Required Skills & Qualifications
- 3–5 years of professional software engineering experience.
- At least 1 year of hands-on experience building AI/ML applications.
- Practical experience developing Generative AI applications involving LLM integration, RAG, prompt engineering, and vector databases.
- At least 1 year of cloud-native engineering experience with a major cloud platform.
- Strong understanding of object-oriented programming, object-oriented design, data structures, algorithms, and software engineering best practices.
- Hands-on experience with at least one modern programming, application, data, or AI technology listed in the role requirements.
- Ability to work onsite at least 3 days per week in Nashville, TN or Tampa, FL.
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related technical discipline.
Preferred Qualifications
- Experience with Agentic AI frameworks and AI agents.
- Exposure to Agile and DevSecOps practices.
- Experience with LangChain, LangGraph, PyTorch, TensorFlow, or cloud AI platforms such as Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
- Experience with GitHub, SonarQube, MLflow, or similar engineering and ML platforms.
- Experience developing production-ready AI solutions in enterprise environments.
- Travel flexibility of 0–10%.
Role Pre-Screening Criteria
Applicants will be asked to answer the following qualifying questions when applying for this position:
- 1Do you have at least 1 year of hands-on experience building AI/ML or Generative AI applications, including LLM integration, RAG, prompt engineering, or vector databases?
- 2Do you have at least 1 year of hands-on cloud-native engineering experience with AWS, Azure, or GCP, including exposure to services such as Azure OpenAI, AWS Bedrock, or Google Vertex AI?
- 3Are you able to work onsite at least 3 days per week in either Nashville, TN or Tampa, FL?
- 4Are you currently authorized to work in the U.S. on a W-2 basis without employer sponsorship (U.S. Citizen, Green Card, H-4 EAD, or OPT EAD)?
Target Tech Stack
Quick Details
- Location
- Nashville, TN or Tampa, FL
- Employment Type
- Contract
- Work Arrangement
- Hybrid
- Experience Level
- 3-5 years
- Domain Focus
- Data & AI
- Requisition Ref
- REQ-43689
Ready to Apply?
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