Application Developer, AI
CommScope View all jobs
- Hyderabad, Telangana
- Permanent
- Full-time
- 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
- 3-5 Years of Experience
- 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
- 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
- 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