Senior AI App Developer

Job title: Senior AI App Developer

About the Role The Senior AI App Developer is responsible for designing, developing, and deploying AI-driven workflows and applications, including ECI-related apps and other critical apps. The role will primarily leverage Databricks Apps and the PCC data platform, using common Python or Node.js frameworks such as Streamlit, Dash, and Gradio. This role bridges software development and applied AI, helping teams build intelligent systems that streamline operations, automate analysis, and enhance decision-making.

What You'll Do

• Design and build AI-powered workflows (“AI Agents”) and apps using Databricks
• Develop, test, and maintain front-end and back-end components for internal AI-enabled applications
• Integrate APIs, model endpoints, and data services into user-facing tools and operational systems
• Collaborate with data scientists to productionize models and embed them into functional business apps
• Ensure performance, reliability, and scalability of AI workflows in cloud environments
• Support enterprise AI governance and compliance frameworks (e.g., model lineage, permissions, auditability)
• Partner with business units to identify automation and AI opportunities and develop proof-of-concepts
• Contribute to internal best practices, reusable components, and application templates for rapid AI app delivery

What We're Looking For

• 5+ years’ experience in software development, application engineering, or full-stack development
• Bachelor's or Master’s degree in computer science, software engineering, or a related field (or equivalent experience)
• Preferred experience building web-based or data-driven applications in cloud environments (AWS, Azure, or GCP)
• Experience integrating APIs and developing UI/UX for data and AI-enabled tools
• Preferred certifications: AWS Developer Associate, or Azure App Developer
• Proficiency in Python and Javascript
• Proficiency building applications using common Python or Node.js frameworks (Streamlit, Dash, Gradio, Shiny, Flask, React, Angular, etc.)
• Familiarity with AI/ML concepts and ability to integrate model outputs into apps or workflows
• Prefer AWS AI/ML experience such as Bedrock and SageMaker and/or Azure tools like Azure Cognitive Services/Foundry
• Prefer experience developing Databricks Apps or similar modular, cloud-hosted applications
• Strong understanding of RESTful APIs, microservices, and event-driven architectures
• Proficiency with CI/CD pipelines, Git, and agile software delivery
• Familiarity with ETL pipelines and data modeling frameworks
• Experience with SQL and cloud databases (e.g., Snowflake, Redshift, or Databricks)

Nice to Have

• Databricks Apps experience or similar modular, cloud-hosted applications

Compensation & Benefits

• Not specified in the posting.