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    Home/Jobs/AI Engineer

    AI Engineer

    Cornerstone

    Hyderabad
    3+ years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    Retrieval-Augmented Generation (RAG)
    LLM
    Java
    Spring Boot
    Spring Data JPA
    Spring Security
    TensorFlow
    PyTorch
    Scikit-learn
    REST API
    PostgreSQL
    MySQL
    Docker
    AWS
    OpenAPI

    Description

    We are building next-generation platforms that leverage AI and machine learning to transform how organizations understand, develop, and deploy talent. Our applications serve enterprise clients and individual users through sophisticated web interfaces that handle complex data visualization, real-time analytics, and multi-tenant architectures.

    Company: Cornerstone

    Role: AI Engineer

    Location: Hyderabad, India

    Experience:

    • 3+ years of strong backend development experience in Java

    Key Skills:

    • Java 17
    • Spring Boot
    • Spring Data JPA
    • Spring Security
    • TensorFlow
    • PyTorch
    • scikit-learn
    • REST API
    • microservices architecture
    • PostgreSQL
    • MySQL
    • Docker
    • AWS
    • GitHub
    • OpenAPI
    • Swagger
    • Alembic

    Role Focus:

    • Design, develop, and maintain backend services using Java
    • Build RESTful APIs following architectural standards and integrate with databases
    • Develop, implement, and optimize machine learning and AI models (NLP, computer vision, predictive analytics)
    • Implement Retrieval-Augmented Generation (RAG) architectures to enhance AI solutions with knowledge retrieval for enterprise applications
    • Implement business logic, authentication mechanisms (JWT), and microservices-based features
    • Prepare data pipelines for training models and support data preprocessing/feature engineering
    • Containerize applications using Docker and support CI/CD pipelines and cloud deployments (AWS)
    • Write clean, testable, maintainable code; perform unit and integration testing
    • Collaborate with cross-functional teams to integrate AI/ML solutions
    • Monitor and optimize model and application performance; troubleshoot and resolve technical issues
    • Participate in code reviews, agile ceremonies, and knowledge-sharing initiatives

    Nice to have:

    • Familiarity with large language models (LLMs)
    • Familiarity with EKS, RDS, ECR

    Other:

    • Strong problem-solving ability
    • Experience in Agile/Scrum environments
    • Effective collaboration with product, QA, and DevOps teams

    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.

    Large Language Models: Application through Production

    edX

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

    AWS Machine Learning Specialty

    Coursera

    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.

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