fomogo

fomogo

AI-Accelerated Engineering Intern (RAG & Product)

Internship
Remote • Bangalore
0 - 1 years of work experience
TypeScript
Python
NodeJS
PostgreSQL
Next.js

Overview

We are seeking a 2025-style builder who leverages AI tools to rapidly transform ideas into working products. This internship offers a unique opportunity to work across data, backend, and UI, focusing on shipping small features quickly, learning continuously, and iterating based on direct feedback in a fast-paced startup environment.

What You'll Do (Key Responsibilities)

  • Prototype and ship user-facing features using cutting-edge AI coding tools (e.g., Windsurf, Cursor, Continue, Copilot, or similar).
  • Build end-to-end RAG (Retrieval Augmented Generation)-backed features, encompassing data ingestion, efficient retrieval/answering mechanisms, and intuitive UI/UX design.
  • Create small APIs and utilities, set up simple dashboards, and implement basic logging and metrics.
  • Systematically evaluate your builds through quick checks, rubrics, and user feedback, demonstrating the ability to pivot rapidly when results necessitate.
  • Debug issues systematically by reading errors, narrowing the search space, and documenting solutions for future reference.

What We're Looking For (Required Qualifications)

  • Comfortable reading and writing TypeScript; Python is a significant plus.
  • Solid understanding of web fundamentals including HTTP, JSON, and Git.
  • Possess a strong product mindset, demonstrating UX sensibility and a pragmatic approach to project scope.
  • Fluency with AI coding tools and modern reasoning models, coupled with the ability to verify and refine AI-generated outputs effectively.
  • A strong bias towards learning, shipping, and communicating clearly within a dynamic startup environment.

Nice to Have (Preferred Qualifications)

  • Basic experience with Node.js or Next.js.
  • Familiarity with simple SQL operations.
  • Exposure to any vector, search, or storage tools.
  • Basic understanding of testing principles and light DevOps practices (e.g., Docker, GitHub Actions).

What Success Looks Like (First 30-60 Days)

  • Successfully ship 1-2 user-visible features powered by retrieval/answering mechanisms.
  • Demonstrate a repeatable AI-assisted workflow, showcasing measurable before-and-after improvements.
  • Successfully resolve at least one complex bug by systematically narrowing the search space and documenting the resolution path.

How to Apply

  • Submit GitHub/portfolio links showcasing 2-3 relevant projects.
  • Include a short note detailing how you incorporate AI coding tools into your day-to-day workflow.
  • (Optional) Provide a tiny demo or notebook demonstrating a simple retrieval-powered feature.

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