AI Engineer - India

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.