Full Stack Engineer (Backend-Focused, AI Systems)

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

Job summary

Tario, Bengaluru-based, seeks a Full Stack Engineer to build AI-powered systems that connect reasoning models, real-time data, and scalable infrastructure. You’ll own backend architecture, AI orchestration, and frontend-exposed APIs to enable intelligent automation.

Join a fast-moving team shipping autonomous sales agents, with a focus on reliability, performance, and developer experience across cloud environments (AWS/GCP).

Qualifications

• Formal degree in a technical field or higher.
• 1–3 years of software development experience.
• Strong backend foundation across Node.js, Python, Go, or Java.
• Experience building RESTful and/or GraphQL APIs.
• Familiarity with PostgreSQL, MongoDB, or Redis.
• Frontend exposure with React/Next.js/Vue.
• Experience deploying to AWS or GCP; event-driven architectures.

Responsibilities

• Design, build, and maintain scalable backend systems and APIs for autonomous AI agents.
• Orchestrate LLM pipelines using LangGraph, AutoGen, or LangChain with observability.
• Collaborate with AI/ML engineers to deploy models in production data pipelines.
• Create real-time services for lead enrichment and workflow automation.
• Expose robust APIs to the frontend for AI-first experiences.
• Implement data persistence, caching, and async task processing.
• Contribute to system design, scalability, and cloud infra setup (AWS/GCP).
• Write high-quality, testable code and improve reliability across services.

Skills

Backend fundamentals

Node.js/Express/NestJS

Python/FastAPI/Django

REST/GraphQL APIs

Cloud (AWS/GCP)

Frontend basics (React/Next.js/Vue)

Databases (PostgreSQL/MongoDB/Redis)

CI/CD & DevOps basics

Message queues (Kafka/RabbitMQ)

LLM orchestration basics

Education

Bachelor’s, Master’s, or PhD in CS/Engineering

Tools

LangGraph

AutoGen

LangChain

Django

React

Job description

About Tario

We're on a mission to reinvent how sales happen—by putting AI in the driver's seat of prospecting, engagement, and pipeline creation. Think autonomous sales agents that write human-like emails, handle objections, and book meetings—without the manual grind.

We're an early-stage, fast-moving team that thrives on experimentation, speed, and deep customer empathy. Every feature we ship makes salespeople more effective—and makes buyers feel like they're talking to a real human.

The Role

We're looking for a Full Stack Engineer with strong backend expertise and a deep curiosity for building AI-powered systems that connect reasoning models, real-time data, and scalable infrastructure. You'll work across the stack—from backend architecture to AI orchestration—to bring intelligent automation to life.

Key Responsibilities

• Design, build, and maintain scalable backend systems and APIs that power autonomous AI sales agents

• Integrate and orchestrate LLM pipelines using frameworks like LangGraph, AutoGen, or LangChain, ensuring reliability and observability

• Collaborate with AI/ML engineers to deploy intelligent models into production environments with robust data pipelines

• Build clean, maintainable service architectures for real-time communication, lead enrichment, and workflow automation

• Work with the frontend team to expose APIs that enable AI-first, dynamic user experiences

• Implement data persistence, caching, and asynchronous task systems to handle large-scale automation

• Contribute to system design decisions, scalability planning, and cloud infrastructure setup (AWS/GCP)

• Write high-quality, testable, and modular code—both backend and frontend

• Continuously improve performance, reliability, and developer experience across services

Required 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 backend foundation in one or more: Node.js/Express/NestJS, Python/FastAPI/Django, Go/Gin, Java/Spring Boot

• Experience designing and building RESTful and/or GraphQL APIs

• Familiarity with databases such as PostgreSQL, MongoDB, or Redis

• Working knowledge of frontend frameworks like React, Next.js, or Vue

• Experience deploying and maintaining applications in AWS, GCP, or similar cloud environments

• Understanding of event-driven architectures, async queues (Celery, RabbitMQ, Kafka), and caching

Preferred Skills (Bonus)

• Experience with LLM orchestration frameworks (LangGraph, AutoGen, LangChain, Semantic Kernel, etc.)

• Exposure to AI agent systems, tool calling, or prompt orchestration

• Familiarity with vector databases and embeddings

• Interest in MLOps, fine-tuning, or evaluation frameworks

What We're Looking For

• A builder mindset—you love architecting systems from scratch and iterating fast

• Deep technical curiosity about how AI agents interact with real-world workflows

• Ownership mentality: you want your work to ship, scale, and deliver business impact

• Clear communication and comfort working in a fast-paced, collaborative environment

• Passion for designing systems where AI isn't an add-on—it's the core logic

Why Join Tario

• AI at the Core: Work on systems where AI isn't a bolt-on—it's the foundation

• High Impact: Your work will directly shape how businesses sell and communicate at scale

• Speed & Ownership: Ship fast, own your code end-to-end, and make real architectural decisions

• Growth & Learning: Join early, take ownership of big challenges, and grow with a team that values depth, autonomy, and innovation