Full Stack Engineer - AI

Big Assets Infra; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Big Assets Infra is seeking a full-stack engineer with strong AI/GenAI exposure to build modern applications and weave AI capabilities into products. The candidate will work across frontend, backend, and AI systems and communicate technical work clearly.

Requirements include 2–10 years of experience in full-stack development, proficiency in Python or Node.js, and React/Next.js/NestJS, plus experience in AI-native applications, GenAI frameworks, and LLMs.

Qualifications

• 2–10 years of experience in full-stack development.
• Backend: Python or Node.js; Frontend: React/Next.js/NestJS.
• Experience building AI-native applications.
• Hands-on experience with GenAI frameworks (LangGraph, RAG pipelines, AI agents).
• Experience using LLMs such as OpenAI, Anthropic, Gemini, DeepSeek, Kimi, or similar.
• Strong understanding of API design, system architecture, and scalable applications.
• Excellent written and spoken English with the ability to clearly explain technical work.

Skills

Python/Node.js

React/Next.js/NestJS

AI-native apps

GenAI frameworks

LLMs usage

API design

System architecture

English proficiency

Job description

We are looking for a Full-stack Engineer with strong AI/GenAI exposure who can build modern applications and integrate AI capabilities into products. The ideal candidate should be comfortable working across frontend, backend, and AI systems and be able to clearly communicate technical work.

Requirements:

• 2-10 years of experience in full-stack development.
• Strong in Python or Node.js (backend).
• Strong in React / Next.js / NestJS (frontend or full stack).
• Experience building AI-native applications.
• Hands-on experience with GenAI frameworks (LangGraph, RAG pipelines, AI agents).
• Experience using LLMs such as OpenAI, Anthropic, Gemini, DeepSeek, Kimi, or similar.
• Strong understanding of API design, system architecture, and scalable applications.
• Excellent written and spoken English with the ability to clearly explain technical work.