Application Developer, AI

Job Description
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
Job Description 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
Check the box that indicates the scope of this position’s accountability and detail the locations of accountability.
Local
(Accountable to single country)
Regional
(Accountable to multiple countries)
Global
(Accountable to multiple continents)
List either the country (local), the countries (regional), or the multiple continents (global) impacted:
North America / South America / Europe / Africa / Asia / Australia
Provide any additional comments relative to the accountability / impact of this position.
Minimum Job Specifications
Is this a job progression?
Yes -OR- No
If this job is part of a progression, outline minimum requirements per grade in the designated section.
Education
RELATED EDUCATION & EXPERIENCE
(Education and experience must be in related field). Select all that apply.
FILL OUT SECTIONS BELOW ONLY IF THIS JOB IS A PART OF A JOB PROGRESSION.
Grade 8
High School degree
Associate’s in related curriculum
Bachelor's degree in computer science, MIS, or related discipline
Master’s in related curriculum such as
1-3 Years of Experience
Skills Required
Must have,
Minimum 2+ 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

Work arrangement
No