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