Software Full Stack Engineer

Tario Inc.; Bengaluru; On-site; INR 800,000 - 1,600,000; Full time

Job summary

Tario Inc. in Bengaluru is seeking a software engineer to build full-stack applications for a startup focused on AI agent systems.

You will design and develop scalable backend services powering AI-driven features and user-facing products, and work across the stack from API design to frontend implementation and cloud deployment. The role emphasizes rapid iteration and technical excellence, with responsibilities including RESTful and GraphQL APIs, selecting backend frameworks, and integrating with

Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field.
• 1-3 years of professional software development experience.
• Strong foundation in at least one backend technology stack from: Node.js/Express/NestJS, Python/FastAPI/Django, Go/Gin, Java/Spring Boot
• Hands-on experience designing and shipping RESTful or GraphQL APIs
• Solid grasp of relational and NoSQL databases including PostgreSQL, MongoDB, or Redis
• Working ability with modern frontend frameworks such as React, Next.js, or Vue
• Demonstrated experience with cloud deployment and operations on AWS, GCP, or equivalent platforms
• Understanding of event-driven patterns, async job queues like Celery, RabbitMQ, or Kafka, and caching strategies
• A builder's mindset: you think in terms of shipping working systems, not just writing code
• Genuine curiosity about how artificial intelligence can solve real operational and business problems
• Ownership of outcomes: you want to see your work reach users and create measurable value
• Ability to communicate clearly and collaborate effectively in a dynamic team environment

Responsibilities

• Build full-stack applications for a startup focused on AI agent systems and their integration into real-world workflows
• Design and develop scalable backend services that power AI-driven features and user-facing products
• Work across the entire stack, from API design through frontend implementation to cloud deployment
• Architect systems from the ground up with emphasis on speed of iteration and technical excellence

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field

Tools

Node.js/Express/NestJS

Python/FastAPI/Django

Go/Gin

Java/Spring Boot

PostgreSQL

MongoDB

Redis

React

Next.js

Vue

AWS

GCP

Kafka

RabbitMQ

Celery

Job description

Batch: 2022/2023/2024/2025.

About the role:

• Build full-stack applications for a startup focused on AI agent systems and their integration into real-world workflows
• Design and develop scalable backend services that power AI-driven features and user-facing products
• Work across the entire stack, from API design through frontend implementation to cloud deployment
• Architect systems from the ground up with emphasis on speed of iteration and technical excellence

What you'll work on:

• Creating RESTful and GraphQL APIs that serve both traditional and AI-enhanced applications
• Selecting and implementing appropriate backend frameworks and patterns for different problem domains
• Managing data persistence across multiple database types and choosing the right tool for each use case
• Building event-driven systems with asynchronous processing to handle complex workflows
• Deploying applications to cloud platforms and maintaining them in production environments
• Integrating with AI agent frameworks and orchestration tools to embed intelligent behavior into applications

What we're looking for:

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field
• 1-3 years of professional software development experience
• Strong foundation in at least one backend technology stack from: Node.js/Express/NestJS, Python/FastAPI/Django, Go/Gin, Java/Spring Boot
• Hands-on experience designing and shipping RESTful or GraphQL APIs
• Solid grasp of relational and NoSQL databases including PostgreSQL, MongoDB, or Redis
• Working ability with modern frontend frameworks such as React, Next.js, or Vue
• Demonstrated experience with cloud deployment and operations on AWS, GCP, or equivalent platforms
• Understanding of event-driven patterns, async job queues like Celery, RabbitMQ, or Kafka, and caching strategies
• A builder's mindset: you think in terms of shipping working systems, not just writing code
• Genuine curiosity about how artificial intelligence can solve real operational and business problems
• Ownership of outcomes: you want to see your work reach users and create measurable value
• Ability to communicate clearly and collaborate effectively in a dynamic team environment

Bonus experience:

• Familiarity with LLM orchestration frameworks such as LangGraph, AutoGen, LangChain, Semantic Kernel, or similar tools
• Exposure to AI agent design, tool calling mechanisms, or prompt orchestration patterns
• Knowledge of vector databases and embedding systems
• Interest in MLOps practices, model fine-tuning, or evaluation frameworks