Full Stack Engineer - AI Applications

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., * 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., * 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.

• 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.

• 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.

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.