About Us

Luxury travel for the global Indian is broken in ways most people don't see. It runs on personal trust and decades old workflows that weren't built to scale. We're the startup rebuilding that entire space from the ground up.

The 'edge' is in the system underneath - LLM agents, RAG pipelines, real-time voice, MCP servers, and cloud-native infrastructure that turns what was bespoke into something repeatable, intelligent, and fast.

We're not adding AI to travel. We're changing travel by being the proving ground for what agentic systems can actually do when the stakes are real, the data is rich, and the customer expects perfection.

Small team. Code reaches production in days, not quarters.

The Role

You’ll work in close proximity to the founders on systems the business runs on. The pace is idea in the morning, prototype by lunch, deployed by EOD and you’ll own that loop.

Expect to design agent workflows, write the backend, ship the frontend, and put it on AWS - often in the same week. The problems are real, the constraints are real, and the surface area is wider than you’ll get anywhere else this early in your career. What you actually build, we’ll talk about in the interview.

We’re looking for someone who’s already built things. If you have AI agents running, GitHub repos with real projects, and the instinct to pick up a new framework the day it launches - you’ll feel at home here.

What You’ll Work On

• Agents in production. Multi-agent orchestration that the team actually depends on. Not demos.
• Voice AI. Real-time conversational interfaces - Whisper, WebSockets, the hard parts.
• The full stack. Backend services, RAG pipelines, Next.js interfaces, n8n automations holding it together.
• MCP and integrations. Extending agent capabilities across our tools and channels.
• Data and infra. Schema design, vector storage, the AWS layer underneath.

The Stack:

Agents & AI: LangGraph, OpenAI/Anthropic APIs, n8n, MCP servers, pgvector, Pinecone

Backend: Python (FastAPI)/ Node.js (Express), Restful APIs

Frontend: Next.js, React.js/React Native

Infra: Supabase, AWS, PostgreSQL

You don’t need every line of this - you need to be the kind of person who picks up the missing ones in a weekend.

What We’re Looking For

• Problem-solving instinct. You break ambiguous, messy problems into modular pieces and ship working solutions under time pressure.
• AI agents you’ve actually built. Multi-agent systems, prompt engineering, function calling, tooluse patterns - not theory, deployed work.
• Workflow automation in production. Real builds on n8n, Make, or Zapier connecting LLMs to APIs, databases, and messaging platforms.
• JavaScript / TypeScript. Hands-on with Node.js and Express for backend services. Clean, maintainable server-side code.
• Frontend. Working knowledge of React and Next.js - responsive UIs, dashboards, interactive tools. Tailwind a plus.
• RAG and vector databases. Pipelines built on Supabase pgvector, Pinecone, ChromaDB. You understand embeddings, chunking, and retrieval optimization.
• API and systems thinking. REST, webhooks, data flows, auth (OAuth, JWT), and how distributed systems interact.
• Databases. PostgreSQL/Supabase, MySQL, data modeling, SQL, schema design.

Bonus points for MCP work, voice AI, WhatsApp Business API builds, or anything weird and well-built on your GitHub.

Compensation & What Happens Next

We’re looking for the best, so we pay for the best. Compensation here isn’t a fixed number on Glassdoor - it’s calibrated to what you’re actually worth, and the ceiling is well above what the internship market in India typically offers.

Strong interns convert to core engineering roles. That’s not a hint or a maybe - it’s the model. We hire interns because we want full-time engineers, and we’d rather watch you build for a few weeks than guess from an interview loop.

Why this is worth your time?

• You’ll build the thing, not a slice of it. Design the system, ship it, watch it run in production. The kind of scope most engineers don’t touch until year three -yours from day one.
• A real path to full-time. We hire interns because we want full-time engineers. Strong performers convert to core engineering roles - and we tell you where you stand early, not at the end.
• A portfolio that opens real doors. Production AI systems with real users, real data, real stakes. Work serious enough to anchor your career on.
• A workspace built for deep work. Delhi office, in-person team, designed for focus. Good coffee, food handled.

So, if you want to do the best work of your life and have the best time doing it, apply now!