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    Home/Jobs/Senior Application Developer - AI

    Senior Application Developer - AI

    CommScope

    Hyderabad
    5+ years
    55 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    LLM
    Azure OpenAI
    OpenAI APIs
    Python
    Prompt Flow
    REST API
    Backend services
    Cloud platforms
    Azure
    AWS
    GCP
    Enterprise security
    Authentication
    Data governance

    Description

    CommScope is seeking a Senior Application Developer - AI to lead the design, development, and delivery of AI-enabled enterprise solutions across internal business platforms.

    Company: CommScope

    Role: Senior Application Developer - AI

    Location: Hyderabad, Telangana, India

    Experience:

    • 5+ years of experience in enterprise application development
    • 5-8 Years of Experience

    Key Skills:

    • Python for AI / ML and Generative AI workflows
    • Generative AI platforms and LLM services
    • REST APIs and backend services using modern application frameworks
    • cloud platforms (Azure, AWS, or GCP)
    • enterprise security, authentication, data governance, and responsible AI practices

    Qualification:

    • Bachelor's degree in computer science, MIS, or related discipline
    • Master’s in related curriculum

    Role Focus: • Lead the design and implementation of end-to-end AI solutions • Architect and implement Generative AI and LLM-based solutions • Define and govern AI integration patterns, prompt strategies, and workflow orchestration • Ensure AI solutions follow responsible AI, security, and data governance principles • Design and oversee backend services and APIs that consume AI capabilities • Guide integration of AI features into enterprise web applications and business processes • Mentor and guide junior developers on AI and enterprise application best practices • Lead technical discussions with architects, functional leads, and business stakeholders

    Nice to have:

    • Preferred experience with Azure AI services and .NET-based applications
    • Experience defining AI frameworks, patterns, or standards at an enterprise level
    • Advanced knowledge of vector databases, embeddings, and semantic search
    • Experience guiding or integrating AI solutions into workflow or across low-code platforms
    • Prior experience leading AI solutions from POC to production rollout
    • Cloud, AI, or architecture certifications
    • Experience working in large, globally distributed enterprise environments

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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