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AI Engineer - India

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Onsite

AI Engineer - India

Cornerstone

AI Engineer - India

Skills

SQL QueriesDockerReactTypescriptPythonJavaTesting & QATailwind CSSAmazon EC2AWS LambdaGraphQLMachine LearningAIAWSKubernetesComplianceTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

27 August 2026

What they need


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.

Youve 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.

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