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.JsBuild and deploy Flutter mobile apps (Android and iOS)Implement and scale AI features including :Image-to-search product discoveryVector DB + embeddings-based recommendationsPrompt-driven workflows and multi-step LLM / vision tasksCustom image and text processing pipelinesOwn full deployment pipeline (CI / CD, infra, cloud, hosting, analytics, etc.)Integrate 3rd party APIs, build modular APIs, manage microservices or serverlessHandle full data workflows : ingestion >transformation >
AI indexing
Build dashboards, role-based permission systems, and real-time UI flowsConvert Figma designs into pixel-perfect UIMaintain performance, caching, error-handling, logging, and delivery speedTroubleshoot, optimize, automate, and document as you goRequirements (Must Have)
5+ years full stack dev experience , including technical ownershipProven history of building and scaling React / Node.Js apps in productionStrong Flutter experience (Android & iOS builds with deployment edge cases)Demonstrable AI experience :
OpenAI / Claude / Gemini integrationsPrompt engineeringVision models (CLIP, SAM, SD, etc.)Vector databases (Pinecone, Weaviate, Chroma, Qdrant)Embeddings, semantic search, RAG pipelinesDeep experience with backend architecture, APIs, auth, tokenizationCI / CD, cloud deployments (AWS, GCP, Firebase, etc.)Experience with one of : MongoDB, PostgreSQL, Firebase, SupabaseStrong Git workflow, testing, debugging, staging / production migrationStrong communication, self-management, and speedCan manage both MVP builds and scalable infrastructureBonus (Nice To Have)
Experience with scrapers / crawler pipelinesFamiliarity with Next.Js, Nest.Js, Prisma, RedisBuild-measure-learn delivery on startup timelinesPrevious AI / ML deployment using modal.Run, RunPod, HuggingFace, etc.Experience shipping fast in venture-backed or early-stage startup environmentsWhat You’ll Actually Be Doing
Build real AI products , not chatbots — including vision, search, and personalization systemsWork directly with a fast-moving founder team (no red tape, no silos)Lead and own the core architecture across platformsShape direction on technical strategy, velocity, and prioritiesShip 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.