AI Engineer - India

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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

• 5-8 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.

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