Remote Full-Stack AI Engineer for Workflow Apps

BairesDev; La Pampa; Remote; ARS 117,092,000 - 149,026,000; Full time

Benefits offered by this job

Fully remote LATAM

Core hours in US time zones

Own end-to-end product area

CI/Tests & feature flags

Job summary

BairesDev is hiring a senior full-stack engineer to join a remote team building workflow software for startups and corporates. You’ll own an end-to-end area, guide AI-generated changes, and collaborate with product leadership to deliver four to five features every two weeks.

The role emphasizes working in a live, production environment with Azure-based tech stack, React/TypeScript UI, and strict code review, tests, and feature flags as standard practice.

Qualifications

• 4+ years building full-stack web applications and releasing them to production.
• Experience working in a codebase you didn’t write and learning its conventions before changing it.
• Hands-on work on workflow software with role-based data views, approvals, and audit history.
• Daily use of AI coding tools (Cursor, Claude Code or similar) on production work, with tests and CI behind it.
• Clear written and spoken English.
• Experience delivering in fixed-scope sprints with branches, code review and feature flags.

Responsibilities

• Develop server-side components from Azure SQL up to the API layer.
• Build React and TypeScript screens on top of existing workflows.
• Review diffs and guide AI-generated code to merges and standards.
• Own one area end-to-end (e.g., task engine or legacy migration) without breaking live features.
• Collaborate with lead developer and product manager to meet sprint acceptance criteria.

Skills

Full-stack development

Legacy code learning

Workflow software

React

TypeScript

SQL on Azure

English communication

Git sprint discipline

Tools

React

TypeScript

SQL on Azure

Job description

BairesDev is hiring a senior full-stack engineer to join a remote team building workflow software for startups and corporates. You’ll own an end-to-end area, guide AI-generated changes, and collaborate with product leadership to deliver four to five features every two weeks.

The role emphasizes working in a live, production environment with Azure-based tech stack, React/TypeScript UI, and strict code review, tests, and feature flags as standard practice.