Backend Systems Engineer Intern

1 day ago

Mysore, Karnataka, India beBeeBackend Full time ₹ 2,50,000 - ₹ 3,00,000
Join Our Team As A Backend Intern

This internship is a fantastic opportunity to collaborate with our experienced founding team and contribute to the development of scalable backend systems for AI-driven applications.

As a valued member of our team, you will be responsible for designing and implementing APIs, data pipelines, and infrastructure that integrate seamlessly with modern AI workflows. You can expect rapid learning, continuous iteration, and significant impact from your work.

Key Responsibilities
  • Design and implement robust gRPC or REST APIs using Node.js, TypeScript, Go, Rust, or Python
  • Connect our backend services to large language model-based workflows and multi-agent systems
  • Develop schemas and pipelines for structured data storage and retrieval
  • Containerize and deploy services using Docker and related tooling
  • Set up CI/CD pipelines and contribute to DevOps workflows for backend and evaluation systems
  • Contribute to architectural design for scalable, multi-agent AI applications
  • Write clean, well-tested code and participate in technical discussions
Requirements
  • Proficiency in TypeScript or JavaScript and at least one backend language such as Node.js, Go, Rust, or Python
  • Experience with API development, databases, or distributed applications through projects, coursework, or internships
  • Hands-on experience with Docker, Git, and command-line workflows
  • Exposure to CI/CD and DevOps practices
  • Interest in working with large language models and building AI-powered applications
  • Some understanding of architectural design principles for distributed or multi-agent systems
  • Strong problem-solving skills and ability to collaborate in a remote environment
  • Bonus if you have explored AI engineering concepts, container orchestration, or large-scale backend systems
What We Offer
  • Mentorship from experienced engineers building modern AI-driven products
  • Exposure to production-grade backend systems with real-world AI integrations
  • Hands-on learning in AI application engineering, DevOps, and scalable infrastructure
  • A pathway to a full-time role with competitive compensation
Selection Process
  1. Technical Challenge (24 hours)
  2. Technical Interview
  3. Director Round

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