Junior Software Developer

Humancapital; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Humancapital seeks a capable full-stack engineer to build the engineering platform behind AI products, spanning frontend, backend, data infrastructure and cloud operations.

You will craft production-grade applications, real-time AI experiences, and durable workflows, using LangGraph or LangChain, plus vector databases and modern CI/CD pipelines.

Qualifications

• 2+ years of strong full-stack/product engineering experience.
• 1+ year building production systems involving LLMs and/or real-time systems.
• Strong TypeScript, React and backend development skills.
• Experience with Python/FastAPI or Node.js/TypeScript.
• Hands-on experience with RAG, vector databases and AI agents.

Responsibilities

• Build production-grade frontend and backend applications.
• Develop real-time AI experiences using streaming, SSE and WebSockets.
• Build APIs, authentication, authorisation and durable workflows.
• Develop AI agent workflows using LangGraph, LangChain or custom agent loops.
• Build RAG systems and work with vector databases.
• Work with PostgreSQL, NoSQL databases, caching and agent memory.
• Deploy and operate systems on AWS or other cloud platforms.
• Build with Docker, CI/CD and infrastructure-as-code.
• Own systems end-to-end and proactively identify and fix reliability issues.

Skills

TypeScript

React

Backend development

Python

FastAPI

Node.js

Docker

AWS

CI/CD

Infrastructure-as-code

LLMs / real-time

Education

B.Tech in Computer Science or higher

Tools

LangGraph

LangChain

PostgreSQL

NoSQL databases

Docker

CI/CD tooling

AWS

Job description

Role OverviewBuild the engineering platform behind AI products—from frontend and backend systems to agent workflows, data infrastructure and cloud operations.

What You’ll Do

• Build production-grade frontend and backend applications
• Develop real-time AI experiences using streaming, SSE and WebSockets
• Build APIs, authentication, authorisation and durable workflows
• Develop AI agent workflows using LangGraph, LangChain or custom agent loops
• Build RAG systems and work with vector databases
• Work with PostgreSQL, NoSQL databases, caching and agent memory
• Deploy and operate systems on AWS or other cloud platforms
• Build with Docker, CI/CD and infrastructure-as-code
• Own systems end-to-end and proactively identify and fix reliability issues

What We’re Looking For

• 2+ years of strong full-stack/product engineering experience
• 1+ year building production systems involving LLMs and/or real-time systems
• Strong TypeScript, React and backend development skills
• Experience with Python/FastAPI or Node.js/TypeScript
• Hands-on experience with RAG, vector databases and AI agents
• Experience with databases, AWS, Docker and CI/CDB.E./B.Tech in Computer Science or higher from a Tier-1 university

Location: BengaluruType: Full-timeJoining: Immediate