Drive innovation and business transformation by designing, developing, and deploying enterprise-grade solutions with an AI-first mindset. This role focuses on leveraging Generative and Agentic AI frameworks to create impactful solutions.

Lead the design and delivery of AI-driven solutions, applying GenAI and Agentic AI to tackle complex business challenges. Automate processes and integrate intelligent insights into enterprise workflows for tangible business outcomes.

Actively code, test, and deploy application-heavy solutions, writing efficient code in Java Spring boot or Python for backend systems, and contributing to frontend development with React or Angular.

Partner with senior architects to design scalable, cloud-native application architectures, prioritizing performance, maintainability, and multi-cloud integration.

Build and maintain integrations using APIs, microservices, and event-driven patterns, supporting multi-cloud deployments across AWS, Azure, and Google Cloud.

Implement practical AI features and collaborate with DevOps teams for containerized solutions and CI/CD pipelines.

Ensure applications meet stringent performance and security standards and stay updated on full-stack development, cloud, and AI advancements.

Bring 5-12 years of hands-on full-stack development experience, with at least 2 years in a lead developer or junior architect role.

Demonstrate robust experience in Java Spring boot and Python for backend development, coupled with hands-on proficiency in frontend frameworks like React or Angular.

Possess practical experience with integration patterns, microservices architecture, and cloud-native services. Familiarity with Docker, Kubernetes, IaC tools like Terraform, and DevOps practices is essential.

Basic exposure to AI/ML integration using cloud AI services or simple ML frameworks is required.

Understanding of secure coding practices and basic enterprise security standards is necessary.