Senior Full Stack Engineer

Lead Full Stack + AI Engineer (React/Node + Flutter + Applied AI + Scalable Systems)About the RoleWe’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-tuningScalable cloud infra (AWS/GCP/Firebase)Third-party integrations (payment, auth, search, catalog)Core ResponsibilitiesArchitect 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 indexingBuild 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 DoingBuild 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 quartersImportantThis 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.