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Job Closed

AI Engineer

  • Source: Naukri
  • Cornerstone
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Role & responsibilities

Job Title : AI Engineer
Location : Hyderabad, India
Years of Experience: 2+ years of hands-on software engineering experience, building and operating production systems

Position Overview

We are seeking a AIEngineer 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.

Skills

  • Java
  • amazon-web-services
  • GraphQL
  • Docker
  • Kubernetes
  • amazon-eks
  • amazon-ec2
  • amazon-s3
  • amazon-rds-for-mysql
  • aws-lambda
  • React
  • Terraform
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