AI Application Developer

Franklin Electric•Fort Wayne, IN

1d•Hybrid

About The Position

Franklin Electric is seeking an exceptional AI Application Developer to help shape the next generation of intelligent business solutions. This is an opportunity for a high-caliber builder who combines strong software engineering fundamentals with practical AI and machine learning expertise to deliver modern, scalable, production-ready solutions. The ideal candidate brings hands-on experience in Python, React, JavaScript, C#, SQL, and Git, along with a strong working knowledge of frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with Azure cloud technologies, DevOps practices, CI/CD pipelines, and deploying AI-enabled applications into production is highly valued. You will contribute across the full solution lifecycle, from opportunity identification and technical design to application development, model implementation, testing, deployment, monitoring, and continuous improvement. This role is focused on delivering AI-enabled applications, machine learning capabilities, and data-driven features that create measurable business value. You will help translate promising ideas into reliable, maintainable, production-ready solutions with a strong emphasis on quality, performance, and long-term impact. You will work alongside talented software developers, data and analytics partners, Business Analysts, Product Owners, and business stakeholders to build high-quality applications and AI-driven capabilities that solve meaningful business problems and advance enterprise innovation. If you are energized by building modern AI-powered solutions, thrive in a collaborative engineering environment, and want to deliver technology that drives real-world impact, this is a compelling opportunity to do meaningful work at scale.

Requirements

Bachelor’s degree in computer science, software engineering, data science, artificial intelligence, computer information systems, or a related discipline is preferred; equivalent practical experience with modern software and AI development will also be considered.
0-2 years of related experience in software development, AI/ML solution development, data-driven application development, or similar technical work is required.
Hands-on experience in Python, React, JavaScript, C#, SQL, and Git.
Strong working knowledge of frameworks such as PyTorch, TensorFlow, and scikit-learn.
Experience with Azure cloud technologies, DevOps practices, CI/CD pipelines, and deploying AI-enabled applications into production is highly valued.
Experience with machine learning concepts such as supervised learning, feature engineering, model evaluation, model deployment, or generative AI application development is preferred.

Nice To Haves

Experience with Azure cloud technologies, DevOps practices, CI/CD pipelines, and deploying AI-enabled applications into production is highly valued.
Experience with machine learning concepts such as supervised learning, feature engineering, model evaluation, model deployment, or generative AI application development is preferred.

Responsibilities

Designs, develops, and supports modern business applications, integrations, and AI-enabled solutions that address high-value operational and strategic needs.
Builds and maintains machine learning, predictive, or generative AI capabilities where appropriate, including model training, evaluation, and production integration.
Develops intelligent application features using modern AI techniques such as supervised learning, prompt-driven workflows, retrieval-augmented patterns, or other model-assisted experiences as appropriate for the business use case.
Completes testing and validation to ensure software and AI/ML components are accurate, reliable, secure, maintainable, and ready for production use.
Documents application, integration, and model behavior from a technical perspective, including assumptions, limitations, and operational considerations where needed.
Partners with stakeholders to identify opportunities for automation, analytics, and AI adoption that create measurable business value and long-term advantage.
Supports deployment, monitoring, troubleshooting, and continuous improvement of intelligent solutions in collaboration with technical teams and business owners.
Follows established standards for application development, responsible AI, model governance, and quality practices, and contributes input toward improving those standards over time.
Occasionally provides off-hours support on evenings and weekends and participates in on-call responsibilities as needed.
Ensure all changes and requests are entered into ServiceNow
Ensures the fulfillment of end user requests for custom applications and integrations
Ensure changes are completed with proper documentation
Reviews the forward schedule of changes for potential conflicts
Participates as a resource on project led by others.
Completes assigned project tasks on time and with high quality.
May lead small projects related to custom applications and integrations.