We are seeking an AI-focused professional to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks. This role is pivotal in driving innovation, efficiency, and business transformation through intelligent technologies.

As a Senior Analyst in Full Stack Engineering, you will contribute to building scalable, high-performing solutions tailored to specific business needs. Your expertise will be instrumental in enhancing components across various systems and applications, leveraging modern frameworks and agile practices. This is a fantastic opportunity to make a significant impact within a dynamic team.

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

Key responsibilities include hands-on coding of robust application solutions, writing clean and efficient code in Java Spring boot or Python, and contributing to front-end development using React or Angular. You will partner with senior architects on scalable, cloud-native application design and develop integrations using APIs and microservices. Implementation across multi-cloud environments (AWS, Azure, Google Cloud) is a core aspect of this role.

A minimum of 5 to 12 years of hands-on full-stack development experience is required, with at least 2 years in a lead developer or junior architect role. Demonstrated experience in multi-cloud environments (AWS, Azure, Google Cloud) and strong proficiency in Java Spring boot and Python for backend development are essential.

Candidates should have hands-on experience with front-end frameworks like React or Angular, alongside basic exposure to AI/ML integration. Practical experience with integration patterns, microservices architecture, and infrastructure tools like Docker, Kubernetes, and Terraform is expected. Familiarity with cloud-native services and DevOps practices, including CI/CD pipelines, is also necessary. A solid understanding of secure coding practices and enterprise security standards is a must.