Application Developer, AI

The information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
Job Overview
Revision Date: 3/2026
Job Number
Job Title:
Application Developer - AI
Typical Position Title: Application Developer, AI
Typically Reports To Title
IT Manager, Applications Development
FLSA Status (U.S. Only)
Non-Exempt -OR- Exempt
General Summary
CommScope has an opening for an Application Developer, AI to join our team supporting our business customers. In this role you will participate in the design, development, coding, testing, and support of AI‑enabled application features.
The Application Developer – AI will work closely with cross‑functional teams to translate business requirements into scalable, secure, and reliable AI‑enabled solutions. The role requires strong hands‑on development skills, a solid understanding of AI concepts, and the ability to contribute effectively within established enterprise architecture and delivery practices.
Duties & Responsibilities

• AI & Application Development
• Develop AI‑enabled features using Azure OpenAI, Azure AI Studio/Azure AI Foundry, Prompt Flow, and Python
• Implement AI use cases such as chat, summarization, content extraction, insights, and workflow automation
• Build and integrate AI capabilities into enterprise applications through backend services and APIs
• Apply RAG (Retrieval Augmented Generation) patterns using enterprise data sources such as documents, databases, and APIs
• Enterprise & Cloud Integration
• Develop and maintain backend services using modern application frameworks (ASP.NET Core / .NET preferred)
• Integrate AI features into existing web applications and business workflows
• Ensure solutions meet enterprise requirements for security, scalability, performance, and reliability
• Follow established development standards, architectural guidelines, and coding best practices
• Data & Workflow Enablement
• Prepare and preprocess structured and unstructured data for AI consumption
• Design, test and refine prompts and AI workflows
• Validate AI outputs for accuracy, relevance, and responsible usage
• 
  Collaboration & Delivery
• Quick learner, motivated self-starter, team player
• Deliver projects on time and with quality.
• Collaborate with architects, DevOps, and functional leads
• Participate in Agile/Scrum ceremonies
• Produce technical documentation and support production issues
• Stay current with evolving AI capabilities and apply them where relevant
  

Accountability / Impact of Job
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Local
(Accountable to single country)
Regional
(Accountable to multiple countries)
Global
(Accountable to multiple continents)
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North America / South America / Europe / Africa / Asia / Australia
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Minimum Job Specifications
Is this a job progression
Yes -OR- No
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Education
RELATED EDUCATION & EXPERIENCE
(Education and experience must be in related field). Select all that apply.

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Grade 8
High School degree
Associates in related curriculum
Bachelors degree in computer science, MIS, or related discipline
Masters in related curriculum such as

• 3-5 Years of Experience
  

Skills Required
Must have,

• Minimum 3+ years of experience in application development with exposure to AI‑enabled solutions
• Strong proficiency in Python for AI / ML and Generative AI workflows, including data preprocessing, experimentation, and orchestration
• Hands‑on experience with LLM‑based platforms or AI services
  

(Like Azure AI Studio, Azure OpenAI, Prompt Flow, and Copilot Studio)

• Experience building and integrating REST APIs and backend services
• Working knowledge of Azure cloud services, including App Services, Azure Functions, authentication, monitoring, and logging
• Experience embedding AI capabilities into enterprise web applications, not limited to standalone notebooks or POCs
• Understanding of core AI concepts such as LLMs, embeddings, prompt engineering, and RAG (Retrieval Augmented Generation)
• Familiarity with Agile / Scrum development methodologies
• Strong interpersonal, communication, and collaboration skills
• Ability to work independently on assigned features, deliver with quality, and support production issues
  

Nice to have,

• Experience implementing RAG solutions using enterprise data sources (SharePoint, documents, databases)
• Knowledge of Azure Cognitive Search and vector search concepts
• Experience with Power Platform (Power Apps, Power Automate) and AI integration
• SQL or enterprise data integration experience
• Exposure to AI governance, security, or responsible AI practices
• AI or Azure‑related certifications
• Prior experience supporting AI features in production environments