Full Stack Engineer (AI-Driven SaaS)

Tario

Bengaluru

On-site

INR 1,200,000 - 1,500,000

Full time

3 hours ago
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Job summary

Tario is seeking a Full Stack Engineer to design and scale AI-powered systems that connect reasoning models, real-time data, and cloud infrastructure. You’ll work across the stack from backend architecture to AI orchestration, enabling autonomous sales agents and robust data pipelines.

The role requires 3–5 years of professional software development, strong backend fundamentals, and experience with REST/GraphQL, databases, and cloud platforms.

Qualifications

  • We’re looking for a Full Stack Engineer with strong backend expertise and AI-driven systems.
  • 3–5 years of professional software development experience.
  • Strong backend foundation in one or more: Node.js, Python, Go.
  • Experience designing RESTful and/or GraphQL APIs and scalable services.
  • Familiarity with PostgreSQL, MongoDB, or Redis.
  • Frontend experience with React/Next.js/Vue is a plus.
  • Experience with AWS, GCP, or similar cloud environments.
  • Understanding of event-driven architectures and async queues.
  • Bonus: LLM orchestration frameworks and AI agent systems.

Responsibilities

  • Design, build, and maintain scalable backend systems and APIs powering autonomous AI agents.
  • Integrate and orchestrate LLM pipelines using LangGraph, AutoGen, or LangChain.
  • Collaborate with AI/ML engineers to deploy models with robust data pipelines.
  • Build clean, maintainable service architectures for real-time communication and workflow automation.
  • Work with frontend teams to expose APIs for AI-first user experiences.
  • Implement data persistence, caching, and asynchronous task systems.
  • Contribute to system design decisions, scalability planning, and cloud infra (AWS/GCP).
  • Write high-quality, testable, modular code for backend and frontend.
  • Improve performance, reliability, and developer experience across services.

Skills

Node.js
Python
Go
REST APIs
GraphQL
PostgreSQL
MongoDB
Redis
React
Next.js
Vue
AWS
GCP
Celery
RabbitMQ
Kafka
LangGraph
AutoGen
LangChain
LLM orchestration
Vector databases
Embeddings
RAG
MLOps

Education

Bachelor’s degree in CS/Engineering/related
Master’s or Ph.D. in CS/Engineering (advantage)

Tools

LangGraph
AutoGen
LangChain

Job description

Tario is a sister company of Auric AI Labs.

About Us

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.

If that sounds exciting, you’ll love building with us.

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.

Responsibilities

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.

  • 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.
Qualifications
  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field
  • 3–5 years of professional software development experience
  • Strong backend foundation in one or more:
  • Node.js / Express / NestJS
  • Python / FastAPI / Django
  • Go / Gin
  • 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 (bonus if full-stack comfortable)
  • Experience deploying and maintaining applications in AWS, GCP, or similar cloud environments
  • Understanding of event-driven architectures, async queues (Celery, RabbitMQ, Kafka), and caching
  • 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, embeddings, and retrieval-augmented generation (RAG)
  • 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.
Reasons You Should 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.
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