Full Stack Engineer

About us

Jeen.AI empowers enterprises with generative AI through advanced AI agents, automations, voice analytics, and knowledge-based insights across any cloud or on-premise environment. Trusted by industry leaders shaping tomorrow's technological landscape.

Why Join Us?

Join a fast-growing company building next-generation AI platforms for large enterprises. Work hands-on on both core product development and real customer implementations, bridging engineering, AI, and business needs. This is a unique opportunity to influence both the product and how customers successfully adopt AI at scale, splitting your time between front-end development and AI agent configuration.

Key Responsibilities

Front-End Development (≈65–70%)

• Develop and maintain web-based user interfaces using React, TypeScript, HTML, and CSS
• Translate product and customer requirements into intuitive, high-quality UI
• Work closely with Product, AI, and Backend teams to deliver end-to-end features
• Ensure performance, scalability, and clean UX across projects
• Participate in code reviews and contribute to engineering best practices

AI Agents & Automations (≈30–35%)

• Support implementation of Jeen.ai’s platform in customer environments
• Configure and adapt AI solutions (agents, workflows, integrations) to customer needs
• Implement backend logic and integrations using Python
• Connect AI agents to external systems, APIs, and data sources
• Design agent logic, flows, and use-case driven automations
• Support customer-facing AI implementations and POCs

Requirements

• 1+ years of experience in Front-End development
• Strong proficiency in React, TypeScript/JavaScript, HTML, and CSS
• Solid understanding of modern web application architecture
• Experience working with REST APIs
• Experience working with databases (SQL)
• Ability to work independently and take ownership of features
• Independent, curious, and comfortable working in fast-moving environments

Preferred Qualifications

• Experience with React Native and Python
• Hands-on experience with Langflow or similar orchestration tools
• Experience building AI agents, automations, or LLM-based solutions
• Familiarity with cloud environments (AWS/Azure/GCP)
• Experience with Docker or containerized environments