Full Stack Engineer

Location: Chennai, India

Department: Product Engineering

Experience: 1 to 2 years

Skills: Node.js, Mongo DB, React.js

• Develop frontend and backend components for modern web applications
• Build APIs and integrations with enterprise systems and third-party services
• Work with React, TypeScript, Node.js, PostgreSQL, and MongoDB
• Integrate applications with LLM APIs and AI services
• Contribute to AI Agents and agent-based workflows
• Debug issues across frontend, backend, API, and database layers
• Write tests and build reliable, maintainable software
• Contribute to CI/CD and production deployments with guidance from senior engineers
• Participate in code reviews, technical discussions, and the full development lifecycle

• Solid engineering fundamentals: You have 1–2 years of engineering experience and a solid foundation in programming, data structures, algorithms, databases, and software development. You take a practical, customer-minded approach to solving problems.
• Thoughtful problem-solving: You start by understanding the problem and its context before jumping into implementation. You can break down complex problems into clear solutions, consider edge cases and trade-offs, and understand how your work affects users and the business.
• Impact-driven approach to technology: You see technology as a means to solve real problems, not an end in itself. You are pragmatic about technology choices and focus on reliable, maintainable software. You stay current with tools such as Cursor and Claude Code and use AI-assisted development thoughtfully.
• Proactive communication and ownership: You take ownership of your work, communicate progress and blockers clearly, and ask questions when needed. You independently investigate problems rather than waiting for instructions at every step.

• JavaScript / TypeScript
• React
• Node.js / Express.js
• PostgreSQL / MongoDB and basic database concepts
• REST APIs and API integration
• Git and version control
• Software development, testing, debugging, and troubleshooting fundamentals

• Next.js or similar modern frontend frameworks
• Python
• Docker and basic containerization
• Redis, Kafka
• AWS, Azure, or GCP
• CI/CD and deployment workflows
• Experience integrating applications with LLM APIs or AI services
• Understanding of AI Agents and agent-based workflows
• Familiarity with Cursor, Claude Code, or other AI-assisted coding tools
• Basic understanding of application security and PII

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 1–2 years of professional software development experience.
• Ability to understand requirements and convert them into working, tested software.
• Good written and verbal communication skills.
• Willingness to learn, seek feedback, and work with senior engineers.
• Ability to work effectively in a collaborative engineering environment.

• Solve Real Problems: We focus on complex operational challenges that matter and build software that solves real problems, not just demo-ready features.
• Think in Systems: We see connections where others see silos. Automation is about how work flows across people, systems, data, and decisions.
• Embrace Complexity: We don't avoid messy, real-world problems. That's where the biggest impact happens.
• Build with Empathy: We design for the people who use our systems, not just for technical elegance.
• Prioritize Trust: We're transparent about what our AI can and cannot do, and we build systems that are reliable, observable, and accountable.
• Measure What Matters: We track business outcomes, not vanity metrics. Real impact is our standard.
• Stay Curious: We're constantly learning, experimenting, and pushing what's possible further.
• Communicate Clearly: We value straightforward communication that cuts through complexity.
• Take Ownership: We each take responsibility for our work and its impact, from concept to deployment.
• Think Long-Term: We build for lasting impact, not quick wins or short-term gains.