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AI Engineer - India

Cornerstone OnDemand

Full time On-site
Experience
3–4 years
Location
Hyderabad
Work mode
On-site
Salary
₹8L – ₹22L a year estimatetypical for IT Jobs in Hyderabad, 66 posts
Posted 8 days ago

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Role at a glance

You will
  • AI Engineer to design, build, and scale high-quality software systems that power our product platforms.
  • Software Development & System Design
  • Design, implement, and maintain
Experience
3–4 years
Must-have skills
AWSJavaReactSQLTerraform
Work mode
On-site

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Job description

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

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

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

• 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.

Qualifications and Skills

Required

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

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

• 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.

Why Join Us?

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

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

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

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

• Core Values : Be part of a company that lives by Shattering Boundaries, Sparking Greatness, and Sharing Success.

#LI-Onsite

Key skills

Required

AWSJavaReactSQLTerraform

Preferred

DockerGraphQL API DevelopmentKubernetesREST API Development

Soft skills

Problem Solving

About company

In 1999, Cornerstone started with a simple (but bold) idea — to improve access to education on a global basis through online learning.

Cornerstone has come a long way since then, but our heritage of focusing on the importance of helping people learn and grow at work remains the same.

Today, we're a diverse team of talent experts — AKA Cornerstars — who understand big ideas, solve problems, and focus on innovating new solutions that deliver great experiences for our customers and their people. Together, we are obsessed with helping our customers meet the future, ready.

Job market insights

384active AWS jobs in Hyderabad
269active Java jobs in Hyderabad
115active React jobs in Hyderabad
₹8L – ₹22L advertised yearly salary for IT Jobs in Hyderabad (middle half of 66 posts that show a salary; median ₹15L)
26 more open jobs at Cornerstone OnDemand

Most IT Jobs posts in Hyderabad ask for 3–6 years of experience (47% of 1129 that say).

Hiring most for IT Jobs in Hyderabad

  • Salesforce51 open jobs
  • JPMorgan Chase38 open jobs
  • Kyndryl31 open jobs

Jobs asking for AWS in Hyderabad also ask for

  • Python59%
  • CI/CD51%
  • Microsoft Azure45%
  • Java36%
  • Google Cloud Platform (GCP)36%

From live job posts on CoreHRx, updated 7 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this AI Engineer - India job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹8L – ₹22L a year (typical for IT Jobs in Hyderabad, 66 posts).

How much experience does this job need?

The post asks for 3–4 Yrs experience.

Where is this job based?

In Hyderabad (on-site).

What kind of job is this?

It is a full time job.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
  4. What is Amazon S3, and what are its main storage classes?

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