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    Job · 22366303

    Luna Bearings logo

    AI Engineer - India

    Luna Bearings · Hyderabad · onsite · Posted 2d ago

    Undisclosed3–4 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Title : AI Engineer
    Location : Hyderabad, India
    Years of Experience: 3
    This role is Office Based, Hyderabad Office
    Job Title: AI Engineer
    Location: Hyderabad, India
    Years of Experience: 3-4 years of hands-on software engineering experience, building and operating production systems
    Position Overview
    We are seeking an AI Engineer to design, build, and scale high-quality software systems that power our product platforms. This role is ideal for a strong, hands-on engineer with solid backend fundamentals, cloud experience, strong frontend experience in React and growing exposure to AI-driven development.
    The ideal candidate has strong experience with Java and AWS, a good understanding of SQL and NoSQL data stores, strong hands-on experience with React and an interest or hands-on experience integrating AI or Generative AI capabilities into real-world applications. You will work closely with senior engineers, architects, and product teams to deliver reliable, scalable solutions that drive customer value.
    In this role you will...
    Software Development & System Design
    • Design, implement, and maintain backend services and APIs using Java, Python and modern frameworks.
    • Build and operate cloud-native services on AWS, ensuring scalability, reliability, and performance.
    • Develop and maintain frontend applications using React.
    • Build reusable and responsive UI components with clean architecture. Optimize performance, accessibility, and cross-browser compatibility.
    • Develop and expose API-first services using REST and GraphQL.
    • Contribute to system design discussions and help implement scalable, distributed architectures.
    • Write clean, maintainable, well-tested code following engineering best practices.
    Data & Platform Engineering
    • Design and work with SQL and NoSQL databases to support high-scale application workloads.
    • Implement data access patterns with a focus on performance, reliability, and consistency.
    • Contribute to event-driven and asynchronous processing where appropriate.
    AI-Aware Development
    • Integrate AI or ML capabilities into applications, including LLM-based features or intelligent automation.
    • Collaborate with senior engineers and architects on AI-enabled system designs.
    • Apply best practices for using AI services safely, reliably, and cost-effectively.
    Cloud, DevOps & Quality
    • Deploy and operate services on AWS using Docker and Kubernetes (EKS).
    • Contribute to CI/CD pipelines, automated testing, and infrastructure automation.
    • Monitor, debug, and optimize production systems.
    • Partner with QA, DevOps, and Security teams to ensure quality and compliance.
    Collaboration & Growth
    • Work closely with Product Managers, UX designers, and cross-functional teams to deliver customer-facing features.
    • Participate in code reviews, design reviews, and technical discussions.
    • Mentor junior engineers and contribute positively to team culture.
    You've got what it takes if you have...
    Required
    • 3-4 years of hands-on software engineering experience building production systems.
    • Strong experience with Java in backend and micro service-oriented architectures.
    • Hands on experience with React, Tailwind CSS, Typescript
    • Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.).
    • Experience working with SQL and NoSQL databases in production.
    • Experience building RESTful APIs; exposure to GraphQL is a plus.
    • Experience with Docker; exposure to Kubernetes (EKS) is a plus.
    • Strong problem-solving skills and a quality-first mindset.
    Nice to Have
    • Exposure to AI or Generative AI in production systems.
    • Experience with modern frontend frameworks (e.g., React).
    • Familiarity with Infrastructure as Code (Terraform or AWS CDK).
    • Experience working in agile, product-driven environments.
    #LI-Onsite
    years of hands-on software engineering experience, building and operating production systems

    Position Overview

    We are seeking a AI Engineer to design, build, and scale high-quality software systems that power our product platforms. This role is ideal for a strong, hands-on engineer with solid backend fundamentals, cloud experience, and growing exposure to AI-driven development.

    The ideal candidate has strong experience with Java and AWS, a good understanding of SQL and NoSQL data stores, and an interest or hands-on experience integrating AI or Generative AI capabilities into real-world applications. You will work closely with senior engineers, architects, and product teams to deliver reliable, scalable solutions that drive customer value.

    Key Responsibilities

    Software Development & System Design

  1. Design, implement, and maintain backend services and APIs using Java and modern frameworks.

  2. Build and operate cloud-native services on AWS, ensuring scalability, reliability, and performance.

  3. Develop and expose API-first services using REST and GraphQL.

  4. Contribute to system design discussions and help implement scalable, distributed architectures.

  5. Write clean, maintainable, well-tested code following engineering best practices.

    Data & Platform Engineering

  6. Design and work with SQL and NoSQL databases to support high-scale application workloads.

  7. Implement data access patterns with a focus on performance, reliability, and consistency.

  8. Contribute to event-driven and asynchronous processing where appropriate.

    AI-Aware Development

  9. Integrate AI or ML capabilities into applications, including LLM-based features or intelligent automation.

  10. Collaborate with senior engineers and architects on AI-enabled system designs.

  11. Apply best practices for using AI services safely, reliably, and cost-effectively.

    Cloud, DevOps & Quality

  12. Deploy and operate services on AWS using Docker and Kubernetes (EKS).

  13. Contribute to CI/CD pipelines, automated testing, and infrastructure automation.

  14. Monitor, debug, and optimize production systems.

  15. Partner with QA, DevOps, and Security teams to ensure quality and compliance.

    Collaboration & Growth

  16. Work closely with Product Managers, UX designers, and cross-functional teams to deliver customer-facing features.

  17. Participate in code reviews, design reviews, and technical discussions.

  18. Mentor junior engineers and contribute positively to team culture.

    Qualifications and Skills

    Required

  19. 3 years of hands-on software engineering experience building production systems.

  20. Strong experience with Java in backend and service-oriented architectures.

  21. Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.).

  22. Experience working with SQL and NoSQL databases in production.

  23. Experience building RESTful APIs; exposure to GraphQL is a plus.

  24. Experience with Docker; exposure to Kubernetes (EKS) is a plus.

  25. Strong problem-solving skills and a quality-first mindset.

    Nice to Have

  26. Exposure to AI or Generative AI in production systems.

  27. Experience with modern frontend frameworks (e.g., React).

  28. Familiarity with Infrastructure as Code (Terraform or AWS CDK).

  29. Experience working in agile, product-driven environments.

    Why Join Us

  30. Strong Engineering Culture : Build well-architected, high-quality systems.

  31. Growth Path : Clear progression toward Staff, Principal, or AI-focused roles.

  32. Modern Stack : Java, AWS, Kubernetes, SQL/NoSQL, and AI-enabled services.

  33. Collaboration : Work with talented engineers, product leaders, and designers.

  34. Core Values : Be part of a company that lives by Shattering Boundaries, Sparking Greatness, and Sharing Success.
  35. #LI-Onsite

    Sourced from naukri

    Skills

    uxAws LambdaGraphQLDevopsDockerTerraformKubernetesAgileNoSQLrestful apisamazon web servicesinfrastructure as codeai engineerAWS RDSLarge Language Models (LLMs)AWS S3AWS EC2uiPythonCSSTypescriptReact.JsSQLREST APITailwind CssJavaArchitecturecomplianceArtificial Intelligence

    About Luna Bearings

    Luna Bearings logo

    Luna Bearings

    Semiconductors

    350

    employees

    1980

    46 years old

    Mumbai, Maharashtra

    India

    ₹3.9L PA avg

    Avg at Luna Bearings

    About

    Luna is leading supplier of Industrial Automation Products and Services with international brands like Hiwin, Panasonic, Mindman, Fatek, Sungil,

    Industries

    SemiconductorsFinancial Services

    Employee ratings

    10 reviews

    2.6/ 5

    Culture

    2.8

    Career growth

    2.7

    Work-life

    3.0

    Employees rate it well for

    Skill Development28Job Security27

    Find them on

    WebsiteAmbitionBox reviews

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