Full Stack Engineer – AI Applications

JMJ PHILLIP; Perrysburg Township (OH); On-site; USD 150,000 - 215,000; Full time

Job summary

JMJ PHILLIP is seeking a highly skilled Full Stack Engineer to design, develop, and maintain AI-powered web applications that enable digital transformation and business innovation. You will work across React/TypeScript, Python/FastAPI, Azure, Docker, Kubernetes, and data pipelines to deliver secure, scalable solutions.

You will collaborate with data scientists and engineers, drive DevOps practices, and mentor teammates while shaping engineering standards and product development with limited

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
• Minimum of 5 years of professional experience in full stack software development.
• Strong experience with modern web frameworks and cloud-native architectures.
• Advanced proficiency in React, TypeScript, Python, and FastAPI.
• Experience with Azure cloud services and DevOps practices.
• Experience integrating AI/ML models and LLMs into production applications.
• Experience designing ETL/ELT pipelines and data ingestion workflows.
• Strong knowledge of SQL databases and data engineering principles.
• Experience with Docker, Kubernetes, CI/CD, and Infrastructure as Code.
• Strong understanding of application security and software development lifecycle practices.

Responsibilities

• Design, develop, test, and maintain full stack applications using React/TypeScript and Python/FastAPI.
• Build RESTful APIs, asynchronous services, and scalable architectures.
• Develop data-driven dashboards and analytics applications for business use cases.
• Integrate LLMs, AI agents, and ML models into production apps.
• Architect cloud-native solutions using Azure and containerized deployments.
• Design ETL/ELT pipelines and data ingestion workflows.
• Implement secure coding practices and access controls, plus observability.

Skills

React

TypeScript

Python

FastAPI

Azure

CI/CD

Docker

Kubernetes

SQL databases

Data engineering

Education

Bachelor’s degree in Computer Science/Software Engineering/IT

Tools

Docker

Kubernetes

Terraform

Azure DevOps

CI/CD tools

Job description

We are seeking a highly skilled Full Stack Engineer to design, develop, and maintain AI-powered web applications that support digital transformation and business innovation. This role will combine modern full stack development, cloud-native architecture, data engineering, and artificial intelligence to deliver scalable, secure, and production-ready solutions.

Position Responsibilities

Full Stack Application Development

• Design, develop, test, and maintain full stack applications using React/TypeScript and Python/FastAPI.
• Build RESTful APIs, asynchronous services, reusable components, and scalable application architectures.
• Develop data-driven dashboards and analytics applications for business and operational use cases.

AI & Machine Learning Integration

• Integrate large language models (LLMs), AI agents, and machine learning models into production applications.
• Collaborate with data scientists to operationalize machine learning models and transform analytical concepts into production-ready solutions.
• Research and evaluate emerging AI technologies and identify opportunities for business applications.

Cloud & Infrastructure

• Architect and implement scalable cloud-native solutions using Azure services.
• Develop containerized applications using Docker and Kubernetes.
• Manage cloud infrastructure using Infrastructure as Code tools such as Terraform.
• Design and maintain CI/CD pipelines for automated testing and deployment.

Data Engineering

• Design and maintain ETL/ELT pipelines for data ingestion, transformation, and delivery.
• Integrate data from SQL databases, APIs, files, and other heterogeneous sources.
• Develop data models and implement data quality and validation processes.

Security & Reliability

• Implement secure coding practices, authentication, authorization, secrets management, and access controls.
• Establish monitoring, observability, logging, and alerting solutions.
• Optimize application performance, reliability, and scalability.

Technical Leadership

• Establish coding standards, architectural best practices, and reusable design patterns.
• Participate in code reviews, technical design discussions, and documentation.
• Mentor team members and provide technical guidance on software engineering, architecture, testing, and DevOps practices.

Stakeholder Collaboration

• Partner with technical and non-technical stakeholders to understand business requirements.
• Translate business needs into effective technical solutions.
• Collaborate across analytics, quality, reliability, sales, operations, and other business functions.

Prerequisites

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
• Minimum of 5 years of professional experience in full stack software development.
• Strong experience with modern web frameworks and cloud-native architectures.
• Advanced proficiency in React, TypeScript, Python, and FastAPI.
• Experience with Azure cloud services and DevOps practices.
• Experience integrating AI/ML models and LLMs into production applications.
• Experience designing ETL/ELT pipelines and data ingestion workflows.
• Strong knowledge of SQL databases and data engineering principles.
• Experience with Docker, Kubernetes, CI/CD, and Infrastructure as Code.
• Strong understanding of application security and software development lifecycle practices.
• Excellent communication, problem-solving, and technical leadership skills.

Certifications (Preferred, but not Required)

• Azure certifications such as Azure Developer Associate or Azure Solutions Architect.
• AI, machine learning, or data engineering certifications.
• Kubernetes or cloud-native technology certifications.
• Terraform or DevOps certifications.

What the Role Offers

• Competitive salary range of $150,000-215,000 annually.
• Opportunity to build innovative AI-powered applications using modern technologies.
• Exposure to Azure cloud, LLMs, AI agents, machine learning, and advanced data engineering.
• Technical leadership opportunities without direct-report responsibilities.
• Opportunity to influence engineering standards, architecture, and product development.
• Minimal travel, generally 0-5% as needed.

Why Perrysburg?

Perrysburg offers access to a strong technology and manufacturing ecosystem, providing opportunities for technology professionals to apply AI, cloud computing, data engineering, and software development to real-world industrial applications. Its regional connectivity and skilled workforce make it a strong environment for developing innovative technology solutions that support digital transformation and operational performance.