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.
Senior Ai Engineer • Kanpur, Uttar Pradesh, India