SSR/ Senior AI Product Engineer

Techunting; Buenos Aires; Sur place; ARS 68 155 000 - 113 592 000; Plein temps

Résumé du poste

Techunting is seeking an SSR/SR AI Engineer to join a fast-growing AI startup focused on automating back-office operations for companies. The platform builds AI agents capable of reading invoices and documents, validating information, interacting with management systems, and generating insights, dashboards, and alerts from operational data flows — dramatically reducing manual workload for clients.

You will design and implement end-to-end features from specification to deployment, define success

Responsabilités

• Design and implement end-to-end features, from specification to deployment.
• Define success metrics and measure real business impact.
• Collaborate directly with customers to validate, prototype, and iterate.
• Maintain quality and reliability through testing, observability, and rollback strategies.
• Leverage AI tools aggressively and share learnings with the team.

Outils

Python

FastAPI

PostgreSQL

Next.js

TypeScript

GCP

LLMs

Description du poste

We’re looking for an SSR/SR AI Engineer to join a fast-growing AI startup focused on automating back-office operations for companies.

The platform builds AI agents capable of reading invoices and documents, validating information, interacting with management systems, and generating insights, dashboards, and alerts from operational data flows — dramatically reducing manual workload for clients.

How we work

• Truly AI-first: AI tools are part of the daily workflow, not experiments.
• Short feedback loops and end-to-end ownership.
• Small, autonomous team with fast decision-making.
• Modern stack focused on speed and execution.

Tech Stack

Python, FastAPI, PostgreSQL, Next.js, TypeScript, GCP, LLMs.

What You´ll Do

• Design and implement end-to-end features, from specification to deployment.
• Define success metrics and measure real business impact.
• Collaborate directly with customers to validate, prototype, and iterate.
• Maintain quality and reliability through testing, observability, and rollback strategies.
• Leverage AI tools aggressively and share learnings with the team.