Remote Full-Stack AI Engineer — Build AI Features

BairesDev; Chile; Remote; CLP 117,763,000 - 176,644,000; Full time

Benefits offered by this job

100% remote work

Flexible hours

Competitive USD compensation

Home office setup

Job summary

BairesDev is hiring a Full Stack AI Engineer to contribute across backend and frontend, shaping AI-powered features and validating AI behavior. You’ll work with senior engineers to grow your skills while delivering robust systems and frontend interfaces in React with TypeScript.

Join a global, remote-ready team and help build RAG pipelines, execute retrieval over data, and refine prompts, while enjoying flexible hours and a competitive USD compensation package.

Qualifications

• Experience in Python and building backend features for AI-powered products.
• Familiarity with LLM integration and RAG pipelines using LangChain, LangGraph, or similar tools.
• Understanding of LLM evaluation concepts and cloud platforms (AWS or equivalent).
• Working proficiency with React and TypeScript for frontend interfaces.
• Experience with retrieval over structured and unstructured data and prompt engineering.

Responsibilities

• Contribute to features including agent integrations and supporting API services.
• Help build RAG pipelines and integrate LLMs into product features.
• Support evaluation of AI behavior to help ensure quality.
• Help build and maintain frontend interfaces using React with TypeScript.
• Collaborate with senior engineers to surface blockers and seek help when needed.

Skills

Python

React

TypeScript

LLMs / AI

RAG pipelines

Prompt engineering

English communication

API design

Tools

LangChain

LangGraph

AWS

React/TypeScript tooling

Job description

BairesDev is hiring a Full Stack AI Engineer to contribute across backend and frontend, shaping AI-powered features and validating AI behavior. You’ll work with senior engineers to grow your skills while delivering robust systems and frontend interfaces in React with TypeScript.

Join a global, remote-ready team and help build RAG pipelines, execute retrieval over data, and refine prompts, while enjoying flexible hours and a competitive USD compensation package.