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Lead AI Application Engineer

Lead AI Application Engineer

Incuwise Startup IncubatorNoida, Republic Of India, IN
15 hours ago
Job description

Lead Full Stack + AI Engineer

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

About the Role

We’re looking for a highly-capable, product-minded Lead Full Stack + AI Engineer with the confidence and ability to build entire platforms end-to-end — including web apps, mobile apps, and advanced AI systems. You will architect, code, deploy, automate, and iterate — across frontend, backend, mobile, cloud, and AI / ML.

This is not a narrow role — we’re building platforms with AI at the core , and you must be comfortable handling everything from model integration and vector search to Firebase auth, real-time user flows, and custom UI experiences.

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’ll Actually Be 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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    Ai Application Engineer • Noida, Republic Of India, IN

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