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    Home/Jobs/GenAI Engineer

    GenAI Engineer

    Amdocs

    Pune Division
    1-4 years
    55 days ago
    ₹8–19 LPA
    Full-time
    Hybrid

    Skills Required

    Gen AI
    LLM
    Claude
    Java
    C
    C++
    GitHub Copilot
    Cursor
    Terraform
    CI/CD pipelines
    Jenkins
    GitHub Actions
    GitLab CI
    Azure DevOps
    Infrastructure as Code

    Description

    We are looking for a GenAI Engineer to design, build, and implement Agentic SDLC solutions that accelerate and enhance software development.

    Company: Amdocs

    Role: GenAI Engineer -C++, Java, Gen AI

    Location: Pune Division, Maharashtra, India, Hybrid

    Experience:

    • 1–4 years of professional software development experience
    • Experience working with CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
    • Hands-on experience with Terraform or other Infrastructure as Code tools

    Qualification:

    • Strong hands-on experience in Java and at least one systems language (C or C++)
    • Practical exposure to Generative AI tools for software development
    • Understanding of Agentic workflows or AI‑assisted development concepts across the SDLC
    • Familiarity with Git-based version control and modern development practices

    Role Focus: • Design, build, and implement Agentic SDLC solutions using Generative AI tools and frameworks • Use AI agents to assist with code generation, refactoring, testing, documentation, and debugging • Develop and maintain production-quality backend components in Java, C, and C++ • Integrate AI-assisted workflows into existing software development processes and toolchains • Update and maintain Infrastructure as Code (Terraform) for application and platform changes • Enhance and support CI/CD pipelines to enable automated builds, testing, and deployments • Collaborate with cross-functional teams to ensure scalable and secure solutions

    Nice to have:

    • Experience building or integrating custom AI agents for development or testing use cases
    • Exposure to cloud platforms (AWS, Azure, or GCP)
    • Knowledge of containerization (Docker, Kubernetes)
    • Experience with automated testing frameworks and code quality tools
    • Prior work on large-scale or enterprise-grade systems

    More skills:

    Generative AI tools, Git-based version control

    Other:

    • Required Travel : Minimal
    • Ability to work as an individual contributor in an agile development environment
    • You will be challenged to design and develop new software applications
    • You will have the opportunity to work on large-scale systems

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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