Full Stack Engineer

Company Description Intelense, founded in December 2018, develops advanced AI software that converts unstructured, heterogeneous data into actionable insights for organizations worldwide. The company started with real-time video analytics for public spaces and now powers marketing insights and decision-making across multiple industries. Its AI-driven solutions integrate seamlessly with existing infrastructures, helping clients identify trends, consumer patterns, and operational inefficiencies without costly upgrades. At the core of Intelense’s product suite is KenAI, which drives KenVision, KenRobotics, and KenIoT through sophisticated machine learning, anomaly detection, and IoT integration. Intelense also builds cutting-edge drones and autonomous mobile robots that deliver granular insights and predictive maintenance, shaping an increasingly autonomous future.
Role Description The Full Stack Engineer role at Intelense is a full-time, on-site position based in the Greater Bengaluru Area. This role involves designing, developing, and maintaining end-to-end web applications, including front-end user interfaces and robust back-end services. The engineer will collaborate closely with product, data, and robotics teams to build scalable features that integrate with AI, IoT sensors, video systems, and autonomous devices. Daily responsibilities include writing clean, efficient, and well-tested code, reviewing peer implementations, optimizing performance, and troubleshooting issues across the stack. The role also requires contributing to architectural decisions, improving development workflows, and ensuring secure, reliable deployments in production environments.
Qualifications
Candidates should possess strong Full-Stack Development and Software Development skills, with experience building production-grade applications.
Candidates should possess solid Front-End Development skills, including proficiency in modern JavaScript frameworks and Cascading Style Sheets (CSS).
Candidates should possess Back-End Web Development skills, including experience with APIs, databases, and server-side frameworks.
Candidates should possess experience working with cloud platforms, containerization (e.g., Docker, Kubernetes), and CI/CD pipelines.
Candidates should possess familiarity with AI-driven or data-intensive systems; experience with machine learning, analytics, or IoT integrations is a plus.
Candidates should possess strong problem-solving abilities, collaborative communication skills, and the capacity to work in a fast-paced, innovation-focused environment.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Work arrangement
No