Application Developer

Forms and Surfaces•Glenshaw, PA

33d•Onsite

About The Position

Forms+Surfaces is seeking a highly skilled and forward-thinking Application Developer to design, develop, and maintain intelligent and scalable business applications. This role blends AI/ML innovation with full-stack web application development, modernizing internal systems such as our custom-built CRM (Q2) while supporting broader enterprise application and AI needs. You will partner across departments-including Sales, Project Management, Manufacturing, and Design-to deliver purpose-built tools, automation, and predictive insights that enhance productivity and drive growth.

Requirements

Associate's degree or formal relevant coursework
3+ years of experience in application development.
Strong programming skills in Python (AI/ML) and C#/ASP.NET (web applications).
Proficiency with JavaScript/TypeScript and modern frameworks (Angular, AngularJS, React, or Vue).
Experience with relational databases, SQL Server, and query optimization.
Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) and LLM tools (OpenAI API).

Nice To Haves

Transitioning legacy applications to modern frameworks.
Building Progressive Web Apps or AI-enhanced UIs
AI/ML integration experience
Database optimization, user access controls, and backend architecture.
SQL Business Intelligence Development Studio (SSRS, SSIS, SSAS).
Knowledge of n-tier architecture applications in a business environment.
Experience with REST APIs, backend services, and database-driven applications.
Familiarity with Git, Power BI, and CSS/web design best practices.

Responsibilities

Partner with internal departments to brainstorm, design, develop, test, and deploy web application solutions.
Participate in all phases of the software development lifecycle, from concept to deployment.
Maintain and enhance existing applications, troubleshoot issues, and optimize performance.
Work with the Application Development Manager and ERP team to re-architect Q2 using modern frameworks (React, Vue, etc.).
Design next-generation CRM features like AI-assisted quote generation, predictive alerts, and real-time collaboration tools.
Identify automation opportunities to reduce manual work and streamline processes.
Connect AI tools and applications to existing systems via REST APIs and backend services.
Develop tools for tracking system usage and adoption to guide design priorities.
Leverage Power BI, SQL Server Reporting Services (SSRS), and data pipelines for analytics.
Utilize Azure DevOps, Azure Pipelines, and Git for version control and CI/CD workflows.
Assist with QA testing, DevOps tasks, and technical upgrades.
Build and integrate machine learning models (e.g., lead scoring, quote prediction, drawing interpretation, sentiment analysis).
Deploy large language model (LLM) applications for CRM workflows, content search, and project communications.
Explore and implement Agentic AI frameworks for intelligent process automation.