Senior Full Stack Engineer – AI & Mobile

5 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Lead Full Stack + AI Engineer

(React/Node + Flutter + Applied AI + Scalable Systems)


About the Role

Lead Full Stack + AI Engineer


AI at the core

You will take on two flagship products that require:

  • Web (React + Node.js)
  • Mobile (Flutter)
  • Backend (Node.js/Nest.js or serverless)
  • Full AI Stack: vision, embeddings, semantic search, fine-tuning
  • Scalable cloud infra (AWS/GCP/Firebase)
  • Third-party integrations (payment, auth, search, catalog)


Core Responsibilities

  • Architect and build end-to-end

    web apps

    using

    React + Node.js

  • Build and deploy

    Flutter mobile apps

    (Android and iOS)
  • Implement and scale AI features including:
  • Image-to-search product discovery
  • Vector DB + embeddings-based recommendations
  • Prompt-driven workflows and multi-step LLM/vision tasks
  • Custom image and text processing pipelines
  • Own full deployment pipeline (CI/CD, infra, cloud, hosting, analytics, etc.)
  • Integrate 3rd party APIs, build modular APIs, manage microservices or serverless
  • Handle full data workflows: ingestion > transformation > AI indexing
  • Build dashboards, role-based permission systems, and real-time UI flows
  • Convert Figma designs into pixel-perfect UI
  • Maintain performance, caching, error-handling, logging, and delivery speed
  • Troubleshoot, optimize, automate, and document as you go


Requirements (Must Have)

  • 5+ years full stack dev experience

    , including technical ownership
  • Proven history of building and scaling

    React/Node.js apps in production

  • Strong Flutter experience (Android & iOS builds with deployment edge cases)


Demonstrable AI experience:

  • OpenAI/Claude/Gemini integrations
  • Prompt engineering
  • Vision models (CLIP, SAM, SD, etc.)
  • Vector databases (Pinecone, Weaviate, Chroma, Qdrant)
  • Embeddings, semantic search, RAG pipelines
  • Deep experience with

    backend architecture, APIs, auth, tokenization

  • CI/CD, cloud deployments (AWS, GCP, Firebase, etc.)
  • Experience with one of: MongoDB, PostgreSQL, Firebase, Supabase
  • Strong Git workflow, testing, debugging, staging/production migration
  • Strong communication, self-management, and speed
  • Can manage both MVP builds and scalable infrastructure


Bonus (Nice To Have)

  • Experience with scrapers/crawler pipelines
  • Familiarity with Next.js, Nest.js, Prisma, Redis
  • Build-measure-learn delivery on startup timelines
  • Previous AI/ML deployment using modal.run, RunPod, HuggingFace, etc.
  • Experience shipping fast in venture-backed or early-stage startup environments


What You’llActuallyBe Doing

  • Build

    real AI products

    , not chatbots — including vision, search, and personalization systems
  • Work directly with a fast-moving founder team (no red tape, no silos)
  • Lead and own the core architecture across platforms
  • Shape direction on technical strategy, velocity, and priorities
  • Ship live, user-facing features on web and mobile within weeks, not quarters


📍Important

  • This is a

    full-time, on-site

    opportunity. Only apply if you are comfortable with a daily commute to our office in

    Noida

    .
  • Remote or hybrid work is not an option

    for this role. Preference will be given to candidates from the

    Delhi/NCR

    region.

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