Senior Full-Stack Engineer

4 weeks ago

Eluru, India Livinit Full time

Domain: AR/3D room scanning, AI layout generation, shoppable design

Company: Livinit, Inc. , US-based Startup (remote team)

Engagement: Full-time (EOR/contract-to-hire possible)

Time zone overlap: ~4 hours with US core hours (flexible)


About the product


We’re building an iOS-first experience that lets users scan a room, generate architect-grade layouts with AI, and see a shoppable design (real products, live links, prices) that obeys practical rules (clear walkways, door swings, window constraints, budget guardrails). Think of it as an interior designer + architect + personal shopper—end-to-end.


Role Overview


You will:

  • Own the backend & web stack end-to-end: APIs, services, data models, admin tools, deployment, and observability.
  • Partner closely with iOS/AR and ML/3D engineers to turn prototypes into robust, measurable features.
  • Ship incrementally toward our Alpha: fast iterations, measured by P50/P95 timings, reliability, and shoppability.
  • Set engineering standards (testing, security, privacy, logging, CI) appropriate for user data and partner catalogs.

This is a hands-on builder role. You’ll write code daily, make pragmatic architectural decisions, and help hire the next engineers in India.


Minimum Qualifications


  • 2-4+ years building production web/back-end systems
  • Strong in TypeScript/Node.js (NestJS/Express) or Python (FastAPI/Flask).
  • Front-end experience with React/Next.js/Swift UI and component libraries (e.g., Tailwind, shadcn).
  • Cloud experience: GCP preferred (Firebase/Firestore, Cloud Storage, Cloud Run/Functions, Pub/Sub, BigQuery) or AWS equivalents.
  • Comfortable with signed URLs, object storage, background workers, and job queues.
  • Data modeling in SQL/NoSQL; designing clean APIs; performance profiling and caching.
  • Search fundamentals: text filters, faceting, vector similarity (FAISS/Pinecone/pgvector/OpenSearch vector).
  • Practical security & privacy: IAM, least privilege, secrets, secure logging, GDPR-friendly patterns.
  • Excellent communication in English; able to work remotely and overlap 3–4 hours with US core hours.


Nice-to-Have (big plus)


  • 3D/graphics basics: coordinate systems (Y-up, meters), meshes, bounding boxes, collisions.
  • AR/vision exposure: ARKit/ARCore, photogrammetry, OpenCV; understanding depth/RGB capture.
  • Rendering pipeline experience (headless renderers, Blender automation, three.js/WebGL).
  • GCP data tools: Dataflow/Beam, BigQuery ML; Elasticsearch/OpenSearch, Typesense.
  • Observability stack: OpenTelemetry, Grafana/Prometheus, Cloud Logging, Sentry.
  • Payments/affiliate tracking, link decoration, analytics attribution.
  • Prior startup or 0→1 product experience.


Location, Hours, Compensation


  • Location: Remote anywhere in India.
  • Hours: Flexible; plan ~4 hours overlap with US core hours (we can align on PT/ET).
  • Compensation: Competitive salary in INR


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