Full Stack Engineer - DaAI

As a Full Stack Engineer, you will help design, build, and evolve the user-facing and service-layer components of our agentic AI platform. You will work closely with product, AI/ML engineers, data engineers, and DevOps engineers to convert platform capabilities into intuitive, reliable, and production-ready product experiences. This is a hands-on engineering role for someone who can work across modern front-end frameworks, backend services, APIs, databases, and cloud-native deployment patterns. The role is ideal for an engineer who enjoys building product features end-to-end in an early-stage environment, with the ability to move quickly while maintaining engineering quality, security, and maintainability. Technical Requirements: • Strong experience with at least one modern front-end framework such as React, Angular, Vue, Next.js, or equivalent technologies. • Hands-on experience building backend services and APIs using Node.js, Python, Java, .NET, or equivalent modern backend frameworks. • Working knowledge of REST APIs, GraphQL, microservices, API security, error handling, logging, and service integration patterns. • Experience with relational or NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or equivalent technologies. • Good understanding of HTML, CSS, JavaScript / TypeScript, responsive design, browser behaviour, and front-end performance basics. Responsibilities: • Design, develop, and maintain full stack product features across front-end interfaces, backend services, APIs, and platform workflows. • Build responsive, intuitive, and enterprise-grade user interfaces using modern front-end frameworks such as React, Angular, Vue, Next.js, or equivalent technologies. • Develop backend services, REST/GraphQL APIs, and integration layers using Node.js, Python, Java, .NET, or equivalent modern backend stacks. • Implement product workflows that expose AI, data discovery, profiling, enrichment, retrieval, and agentic capabilities through clear user experiences. • Integrate front-end and backend components with AI/ML services, data pipelines, vector search, document intelligence services, and enterprise connectors. • Work with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or equivalent technologies for application data, configuration, metadata, and workflow state. Preferred Skills: Technology->Full stack->Java Full stack,Technology->Full stack->.Net Full stack