AI Product Engineering Intern

About the Role

Ark Abroad is building the next generation of employability technology using AI. We are seeking an AI Product Engineering Intern to join our team. The ideal candidate loves building things and experimenting with AI tools to create working products.

Key Responsibilities

• Build, test, evaluate, and improve autonomous AI agents capable of using tools, retrieving knowledge, and completing multi-step tasks.
• Connect LLMs, APIs, databases, and internal systems to automate real business processes through AI Workflows.
• Design and ship new product features, from turning ideas into working prototypes to customer-facing applications.
• Build RAG pipelines, searchable knowledge bases, and systems for AI agents.
• Work with Zoho, Supabase, webhooks, and third-party APIs for integrations.
• Experiment with emerging models, frameworks, and tools to identify useful technologies.
• Solve problems and ship products that people actually use.

Requirements & Tech Stack

The company values what you've built over years of coding experience. An impressive GitHub, portfolio, or collection of built projects is preferred.

Technical skills we'd love to see (you don't need to know everything):

• JavaScript / TypeScript or Python
• React, Next.js, or similar frameworks
• REST APIs, webhooks, and third-party integrations
• SQL, PostgreSQL, Supabase, or similar databases
• LLM APIs, tool calling, RAG, and agentic workflows
• Git, deployment, debugging, and basic software architecture
• Familiarity with tools such as n8n, LangChain, LangGraph, or MCP

What matters:

• AI-native: Genuine experimentation with tools like Claude, Cursor, Claude Code, or similar. Ability to use AI to build faster.
• Understanding of programming fundamentals: APIs, databases, backend logic, authentication, debugging, version control, and application architecture.
• Good product and design instincts: Care for usability, usefulness, and visual polish.
• Relentless curiosity: Instinct to build with new tools.
• Resourcefulness: Ability to figure things out even with unfamiliar frameworks.
• Ability to work independently: Investigate, propose, build, test, and iterate on solutions.
• Experience shipping projects (side projects, automations, open-source contributions, hackathon projects).

Qualifications

• Freshers and early-career builders are encouraged.
• Candidates may have a computer science background, be self-taught developers, hackers, or have learned through side projects.
• Must understand enough engineering to debug, secure, maintain, and improve AI-assisted builds.

What You Get

• Claude Max subscription and access to necessary AI tools.
• Opportunity to work on real problems with real users and ship impactful products.
• Significant ownership from day one.
• Freedom to experiment with emerging technologies.
• Direct exposure to the founder and involvement in product decisions.
• Opportunity to shape the technology of a growing AI-driven employability company.