Senior Fullstack Engineer (SDE-2)

Senior Fullstack Engineer (SDE-2)

Team: Engineering
Location: Bengaluru
Employment Type: Full-Time
Experience: 3-5 Years

About Us

We are building AI-powered products that help businesses automate operations, improve workflows, and scale efficiently. Our team develops intelligent AI agents and automation platforms across customer engagement, sales, and knowledge systems. We combine modern engineering with practical AI applications to solve real business problems through scalable, high-impact technology solutions.

About the Role

We are looking for a Senior Fullstack Engineer (SDE-2) to build scalable AI-native products across frontend, backend, and cloud systems. You will own features end-to-end, contribute to technical decisions, and work closely with product and leadership teams in a fast-paced engineering environment focused on innovation, ownership, and continuous learning.

What You’ll Do

• Build scalable web applications using React, Next.js, Node.js, and TypeScript.
• Own complete feature development from architecture to deployment and optimization.
• Design secure APIs, backend systems, authentication flows, and database structures.
• Integrate AI capabilities using LLM APIs, RAG pipelines, and vector databases.
• Collaborate with product, design, and engineering teams on scalable solutions.
• Improve platform performance, reliability, scalability, and engineering efficiency.
• Contribute to cloud infrastructure, deployments, and CI/CD workflows.
• Participate in code reviews, debugging, testing, and production issue resolution.
• Maintain engineering quality through documentation and clean coding practices.
• Explore emerging AI and engineering technologies to drive product innovation.

What We’re Looking For

• Bachelor’s or Master’s degree in Computer Science or related field.
• 2–4 years building production-grade applications in startup or product environments.
• Strong proficiency in JavaScript, TypeScript, React, Next.js, and Node.js.
• Experience with APIs, databases, authentication systems, and backend architectures.
• Understanding of scalable systems, debugging, performance optimization, and reliability.
• Exposure to Generative AI, LLM integrations, vector databases, or RAG systems.
• Ability to drive projects with strong ownership independently and accountability.
• Comfortable working in fast-moving environments with evolving priorities.
• Strong communication and collaboration skills across technical and business teams.
• Growth mindset with strong interest in learning modern AI engineering practices.