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Juliana Torrisi is in direct contact with the company and can answer any questions you may have. Email
Juliana Torrisi, RecruiterHi, we’re Overgo! We help people select and book the right hotel using natural language and AI. Built for discerning travelers who value both high-tech and high-touch service, Overgo makes discovering a hotel feel as effortless as having a conversation. We’re backed by the leadership of Booking.com and other industry innovators, giving us both credibility and momentum as we scale. Our mission is to blend the best of technology and hospitality — using AI not to replace the human touch, but to elevate it. If you thrive on autonomy, creativity, and the chance to shape an early-stage product that’s redefining luxury travel, we’d love for you to join our team.
Role Overview
We’re looking for a scrappy, fast-moving Rapid Prototype Engineer who can help us bring Overgo’s MVP live by October 1st. You’ll be responsible for standing up this prototype end-to-end: AWS infrastructure, backend orchestration, AI-driven chat, and a user-friendly booking flow. On the frontend, you’ll build the UX layer in Streamlit and integrate a white-label booking experience inside a branded single-page application (SPA). On the backend, you’ll connect to travel/booking APIs, orchestrate AI reasoning, and ensure the system feels seamless to users.
This is a hands-on role working closely with leadership and a product designer to make sure the MVP is not just functional, but intuitive and market-ready.
Responsibilities
- Build the front-end UX layer of Overgo’s discovery and booking flows in Streamlit, ensuring it is intuitive and user-friendly for the go-to-market MVP (October 1).
- Connect backend booking and payment engine (Nuitee LiteAPI) and display results interactively.
- Provision and manage AWS infrastructure with Terraform IaC and Vault-backed secrets (or AWS Secrets Manager if simpler).
- Build a Python backend (Tornado or equivalent) to orchestrate:
- AI models via AWS Bedrock (Claude Sonnet) with spend caps.
- Qdrant Cloud for embeddings and retrieval.
-3rd-party travel/booking APIs for availability and pricing.
- External search APIs for reviews and content ingestion.
- Implement a Streamlit chat UI that drives the AI travel assistant.
- Integrate a white-label booking UI into the branded SPA frontend.
- Add observability with Better Stack Logs (logging/alerts) and PostHog (analytics).
- Write lightweight unit + integration tests; enforce CI/CD with GitHub Actions.
- Document architecture, infrastructure, and developer workflows for handoff.
Key Technologies
- Cloud & IaC: AWS (EC2, S3, CloudFront, Route 53, RDS), Terraform, Vault
- Backend: Python (Tornado, Streamlit), Postgres
- Frontend: React SPA, Streamlit, white-label booking UI
- AI/Data: AWS Bedrock (Claude), Titan embeddings, Qdrant Cloud, Nuitee LiteAPI, Search APIs
- Tooling: GitHub Actions, Docker/ECR, Better Stack, PostHog, Parea.ai
- Auth: Nuitee LiteAPI
Success in This Role
By early Fall 2025, the MVP is live with:
- A branded SPA frontend embedding a white-label booking UI.
- An AI-powered chat assistant via Streamlit, backed by Bedrock + Qdrant.
- A backend that orchestrates booking API queries and search results into the AI flow.
- Infrastructure managed in Terraform, secrets in Vault, deployed via GitHub Actions.
- Logging and analytics active (Better Stack, PostHog).