AI Application Engineer

2 days ago

Vellore, Tamil Nadu, India beBeeBackend Full time ₹ 3,00,000 - ₹ 3,60,000
Job Description:

As a Founding Intern - Backend, you will be working directly with our team to design and build scalable backend services that power AI-driven applications.

Key Responsibilities:
  • API Development: Build and refine APIs in Node.js, TypeScript, Go, Rust, or Python, ensuring they are efficient, scalable, and well-documented.
  • Backend Services Integration: Connect backend services to Large Language Model (LLM) workflows and multi-agent systems, driving innovation and growth.
  • Schema and Pipeline Design: Design schemas and pipelines for structured data storage and retrieval, optimizing data management and accessibility.
  • Containerization and Deployment: Containerize and deploy services using Docker and related tooling, ensuring seamless and secure delivery.
  • CI/CD and DevOps: Set up Continuous Integration/Continuous Deployment (CI/CD) pipelines and contribute to DevOps workflows, driving efficiency and quality.
  • Architectural Design: Contribute to architectural design for scalable, multi-agent AI applications, ensuring alignment with business objectives.
  • Code Quality: Write clean, well-tested code and participate in technical discussions, promoting excellence and collaboration.
Requirements:
  • Technical Skills: Proficiency in TypeScript or JavaScript and at least one backend language such as Node.js, Go, Rust, or Python.
  • Experience: Experience with API development, databases, or distributed applications through projects, coursework, or internships.
  • Tools and Technologies: Hands-on experience with Docker, Git, and command-line workflows.
  • Certifications and Training: Exposure to CI/CD and DevOps practices.
  • Soft Skills: Interest in working with LLMs and building AI-powered applications.
  • Problem-Solving: Strong problem-solving skills and ability to collaborate remotely.
What We Offer:
  • Mentorship: Mentorship from experienced engineers building modern AI-driven products.
  • Exposure: Exposure to production-grade backend systems with real-world AI integrations.
  • Hands-on Learning: Hands-on learning in AI application engineering, DevOps, and scalable infrastructure.
  • Career Growth: Pathway to a full-time role with competitive salary and Employee Stock Ownership Plan (ESOP).

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