AI Engineer - India

You will work closely with senior engineers, architects, and product teams to deliver reliable, scalable solutions that drive customer value.\nIn this role you will...\nSoftware Development & System Design\nDesign, implement, and maintain backend services and APIs using Java, Python and modern frameworks.\nBuild and operate cloud-native services on AWS , ensuring scalability, reliability, and performance.\nDevelop and maintain frontend applications using React .\nBuild reusable and responsive UI components with clean architecture. Optimize performance, accessibility, and cross-browser compatibility.\nDevelop and expose API-first services using REST and GraphQL.\nContribute to system design discussions and help implement scalable, distributed architectures.\nWrite clean, maintainable, well-tested code following engineering best practices.\nData & Platform Engineering\nDesign and work with SQL and NoSQL databases to support high-scale application workloads.\nImplement data access patterns with a focus on performance, reliability, and consistency.\nContribute to event-driven and asynchronous processing where appropriate.\nAI-Aware Development\nIntegrate AI or ML capabilities into applications, including LLM-based features or intelligent automation.\nCollaborate with senior engineers and architects on AI-enabled system designs .\nApply best practices for using AI services safely, reliably, and cost-effectively.\nCloud, DevOps & Quality\nDeploy and operate services on AWS using Docker and Kubernetes (EKS) .\nContribute to CI/CD pipelines , automated testing, and infrastructure automation.\nMonitor, debug, and optimize production systems.\nPartner with QA, DevOps, and Security teams to ensure quality and compliance.\nCollaboration & Growth\nWork closely with Product Managers, UX designers, and cross-functional teams to deliver customer-facing features.\nParticipate in code reviews, design reviews, and technical discussions.\nMentor junior engineers and contribute positively to team culture.\nYou've got what it takes if you have...\nRequired\n3-4 years of hands-on software engineering experience building production systems.\nStrong experience with Java in backend and micro service-oriented architectures.\nHands on experience with React, Tailwind CSS, Typescript\nHands-on experience with AWS (EC2, S3, RDS, Lambda, etc.).\nExperience working with SQL and NoSQL databases in production.\nExperience building RESTful APIs ; exposure to GraphQL is a plus.\nExperience with Docker ; exposure to Kubernetes (EKS) is a plus.\nStrong problem-solving skills and a quality-first mindset.\nNice to Have\nExposure to AI or Generative AI in production systems.\nExperience with modern frontend frameworks (e.g., React).\nFamiliarity with Infrastructure as Code (Terraform or AWS CDK).\nExperience working in agile, product-driven environments.\n#LI-Onsite\nyears of hands-on software engineering experience, building and operating production systems\n\nPosition Overview\n\nWe 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.\n\nThe 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.\n\nKey Responsibilities\n\nSoftware Development & System Design\n\n• Design, implement, and maintain backend services and APIs using Java and modern frameworks.\n\n• Build and operate cloud-native services on AWS, ensuring scalability, reliability, and performance.\n\n• Develop and expose API-first services using REST and GraphQL.\n\n• Contribute to system design discussions and help implement scalable, distributed architectures.\n\n• Write clean, maintainable, well-tested code following engineering best practices.\n\nData & Platform Engineering\n\n• Design and work with SQL and NoSQL databases to support high-scale application workloads.\n\n• Implement data access patterns with a focus on performance, reliability, and consistency.\n\n• Contribute to event-driven and asynchronous processing where appropriate.\n\nAI-Aware Development\n\n• Integrate AI or ML capabilities into applications, including LLM-based features or intelligent automation.\n\n• Collaborate with senior engineers and architects on AI-enabled system designs.\n\n• Apply best practices for using AI services safely, reliably, and cost-effectively.\n\nCloud, DevOps & Quality\n\n• Deploy and operate services on AWS using Docker and Kubernetes (EKS).\n\n• Contribute to CI/CD pipelines, automated testing, and infrastructure automation.\n\n• Monitor, debug, and optimize production systems.\n\n• Partner with QA, DevOps, and Security teams to ensure quality and compliance.\n\nCollaboration & Growth\n\n• Work closely with Product Managers, UX designers, and cross-functional teams to deliver customer-facing features.\n\n• Participate in code reviews, design reviews, and technical discussions.\n\n• Mentor junior engineers and contribute positively to team culture.\n\nQualifications and Skills\n\nRequired\n\n• 3 years of hands-on software engineering experience building production systems.\n\n• Strong experience with Java in backend and service-oriented architectures.\n\n• Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.).\n\n• Experience working with SQL and NoSQL databases in production.\n\n• Experience building RESTful APIs; exposure to GraphQL is a plus.\n\n• Experience with Docker; exposure to Kubernetes (EKS) is a plus.\n\n• Strong problem-solving skills and a quality-first mindset.\n\nNice to Have\n\n• Exposure to AI or Generative AI in production systems.\n\n• Experience with modern frontend frameworks (e.g., React).\n\n• Familiarity with Infrastructure as Code (Terraform or AWS CDK).\n\n• Experience working in agile, product-driven environments.\n\nWhy Join Us?\n\n• Strong Engineering Culture : Build well-architected, high-quality systems.\n\n• Growth Path : Clear progression toward Staff, Principal, or AI-focused roles.\n\n• Modern Stack : Java, AWS, Kubernetes, SQL/NoSQL, and AI-enabled services.\n\n• Collaboration : Work with talented engineers, product leaders, and designers.\n\n• Core Values : Be part of a company that lives by Shattering Boundaries, Sparking Greatness, and Sharing Success.]]>