AI-Native Full Stack Engineer
Withremote Solutions · Remote · remote · Posted 56d ago
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About this role
Job Title: AI-Native Full Stack Engineer
Experience: 3+ Years
Location: Remote
Working Days: Monday to Saturday
Working Hours: 4:00 PM to 1:00 AM IST
Salary: Up to 24 LPA
About the Role
We are looking for a Senior AI-Native Full Stack Engineer who can take a feature from idea UI API database AI integration deployment production independently.
This is a high-ownership product engineering role, not a maintenance/ticket-based position. You should be comfortable working in a fast-paced startup environment, making technical decisions and shipping features end-to-end.
What You'll Do
Build production-ready frontend, backend, and AI-powered features end-to-end.
Develop responsive UIs using React, Next.js, TypeScript & Tailwind.
Build APIs and business logic using Node.js & Express.js.
Work with PostgreSQL, Redis & pgvector.
Integrate LLMs, RAG, embeddings, AI agents, and MCP into products.
Deploy and manage your own work using AWS, Docker & CI/CD.
Debug, monitor, and optimize production systems.
Use Claude/Claude Code, Cursor, or AI agents as part of your daily development workflow.
Make independent product and architecture decisions.
Must Have
5+ years of production software engineering experience.
Strong React + Next.js + TypeScript.
Strong Node.js + Express.js experience.
Experience with MCP tools and servers.
Good knowledge of PostgreSQL + Redis.
Experience with AWS, Docker & CI/CD.
Hands-on experience building LLM/AI-powered features.
Experience with RAG, vector search, embeddings, or AI agents.
Proven experience working in startups / small teams / high-ownership environments.
Strong evidence of using AI tools to significantly improve development speed.
Good to Have
Python / FastAPI
WebSockets
Pinecone / Qdrant / Weaviate / ChromaDB
Kubernetes
React Native
LangChain / LangGraph
vLLM / Ollama
Who We're Looking For
Someone who builds, ships & owns, not someone who only picks up tickets.
If you can take a vague idea and independently turn it into a working production feature while using AI as a serious engineering force multiplier, we'd love to hear from you.
Sourced from naukri