Job Description

As a Full-Stack Web Engineer, you’ll help build a new map-centric, data-heavy product, taking ownership of its core user interface while supporting backend development. The role has a slight frontend focus, with the UI being where you’ll spend most of your time. You’ll work alongside the team’s AI engineer, supporting API design and server-side persistence while contributing to a product that renders large feature sets, displays tabular results from spatial queries and handles file uploads.

The product also includes an AI-powered chat interface, bringing challenges around latency and streaming partial results. Strong product instincts and the ability to make pragmatic decisions are important alongside technical fit.

Responsibilities

• Build and maintain the product’s core UI, including map interactions, the chat interface, data tables and file-upload flows.
• Build map-centric interfaces capable of rendering large feature sets.
• Display tabular results from spatial queries.
• Handle file-upload flows within the product.
• Support backend development, including API design and server-side persistence, alongside the team’s AI engineer.
• Contribute to an AI-powered chat interface and address product challenges involving latency and streaming partial results.
• Deliver measurable deliverables from onboarding.

Requirements

• 5+ years of TypeScript full-stack engineering experience, using React on the frontend and Node on the backend.
• 2+ years of experience building map-centric frontends with Mapbox GL , or equivalent production experience with vector-tile mapping libraries such as MapLibre , Leaflet or deck.gl .
• 3+ years of experience building data-heavy product UI in production, including tables, editors and upload flows.
• 4+ years of experience designing backend services against Postgres , including API design, typesafe query layers, authentication and authorisation. Experience with Kysely , Prisma or a similar typesafe query layer is acceptable.
• Senior-level experience, with 5+ years of overall professional experience.

Nice to Have

• Familiarity with geospatial data.
• 1+ years of experience visualising large datasets in the browser using vector tiles or similar approaches.
• 1+ years of experience building chat and streaming interfaces.
• 2+ years of experience with serverless AWS .
• Understanding of product challenges specific to AI interfaces, including latency and streaming partial results.

Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
• No Weekend Work: Real work-life balance, not just words
• Day 1 Benefits: Laptop and full medical insurance provided
• Support That Matters: Mentorship, community, and forums where ideas are shared
• True Belonging: A long-term career where your contributions are valued

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