Senior Node.js Backend Engineer (AI & Agent Systems)

About Enterprise Bot

Enterprise Bot is the leading provider of GenAI, Conversational AI, and automation software, headquartered in Zurich, Switzerland. Our intelligent virtual assistants and automation tools help organizations improve efficiency, reduce costs, and deliver exceptional customer experiences across industries such as banking, insurance, and logistics. Our mission is to become the world’s #1 AI-driven automation software provider within the next five years.

We work with leading companies such as the SIX Group (Swiss Stock Exchange), SWICA, Generali, and others to enhance customer interactions and automate business processes using our cutting‑edge Conversational AI technology.

Our global team includes more than 70 highly skilled professionals from diverse backgrounds.

We foster an open, progressive company culture with state‑of‑the‑art technology and flat hierarchies. At Enterprise Bot, you’ll experience a unique blend of passion, purpose, challenge, and fun.

Tasks

We are looking for a Senior Node.js Backend Engineer with 3–5 years of hands‑on experience building scalable, high‑performance backend systems. In this role, you will architect and develop robust APIs, design efficient database structures, and contribute to AI‑powered and agent‑based systems.

You will work on modern backend architectures that power intelligent applications, including AI integrations, LLM‑driven workflows, streaming systems, and real‑time services. This role requires strong ownership, system design thinking, and a passion for building secure, production‑grade solutions.

You will collaborate closely with cross‑functional teams to deliver scalable, reliable, and innovative software aligned with industry best practices.

Key Responsibilities:

Backend Development:

• Design, develop, and maintain scalable server‑side applications using Node.js.
• Leverage frameworks such as Express.js and Koa for efficient API and application development.

Database Management:

• Work extensively with MongoDB for schema design, indexing, and optimising query performance.
• Utilize SQL‑based databases when needed to meet project requirements.

API Development & Integration:

• Build secure, efficient, and reusable RESTful and/or GraphQL APIs to facilitate seamless communication between systems.
• Implement authentication systems using frameworks like OAuth, JWT, and others to ensure robust access control.

Security & Data Protection:

• Implement security and data protection best practices in APIs, data flows, and database design.
• Ensure systems are designed to protect sensitive user and organizational data.

Troubleshooting & Support:

• Identify, debug, and resolve production issues to ensure a seamless user experience.
• Monitor performance and scalability, addressing bottlenecks as they arise.

Collaboration & Documentation:

• Collaborate with front‑end developers, designers, and other team members to integrate front‑end elements with server‑side logic.
• Document code, APIs, and database schemas to maintain clarity and facilitate knowledge sharing.

Requirements

Education:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Experience:

• 3-5 years of professional experience in backend development using Node.js and MongoDB.
• Proficiency in SQL‑based databases (e.g., MySQL, PostgreSQL) in addition to MongoDB.

Technical Skills:

• Strong proficiency in JavaScript (ES6+) and asynchronous programming:
  • Deep understanding of modern JavaScript features, including promises, async/await, modules, closures, and event‑driven patterns.
  • Comfortable handling concurrency, non‑blocking I/O, and performance optimization in Node.js environments.
• Experience with Express.js and Koa:
  • Ability to design and build scalable APIs, implement middleware, manage routing, structure applications cleanly, and handle validation and error management effectively.
• Hands‑on experience in database schema design, query optimization, and indexing:
  • Experience designing efficient schemas, optimizing queries, analyzing execution plans, and implementing indexing strategies to ensure performance and scalability.
• Familiarity with authentication and authorization systems, including OAuth and JWT:
  • Experience implementing secure…