Ai Engineer

Dry Ground AI; Brasil; Remoto; BRL 660.000 - 991.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote

Flexible schedule

High ownership

Production deployments across clients

Training and development support

Descrizione del lavoro

Dry Ground AI is seeking a senior AI Engineer who can own features end to end—from frontend interfaces to backend services and AI behavior. This fully remote role requires you to live in Brazil, Colombia, or the Philippines and to thrive in a fast-moving, client-focused environment.

You will design, build and ship full-stack applications with React/TypeScript on the front end and Node.js or Python on the back end, integrating AI features into production systems and guiding test strategy with

Competenze

• 5+ years as a full-stack or senior software engineer.
• Strong JavaScript and TypeScript, with hands-on React experience.
• Backend experience with Node.js and/or Python, including API design and integrations.
• AI features you have shipped to production and supported, not only prototypes.
• Working knowledge of LLM tooling (OpenAI or Anthropic APIs, LangChain or similar), prompt and context design, and retrieval-augmented generation.
• Habit of writing automated tests; experience with Playwright, Cypress or similar.
• Daily use of AI-assisted development tools such as Claude Code or Cursor, with Git and GitHub.
• Fluent written and spoken English; you will join client calls and write client-facing updates.

Mansioni

• Design, build and ship full-stack applications with React and TypeScript on the front end and Node.js or Python on the backend.
• Build AI agents, conversational interfaces and multi-step workflows using LLM APIs and frameworks such as LangChain and LangGraph.
• Connect AI systems to the tools our clients run on: CRMs, property management and CMS platforms, data sources and internal tools, through REST APIs, webhooks and automation platforms such as n8n.
• Plan how each new feature will be tested, then write and maintain the automated tests and evaluations for it.
• Design for production: authentication and permissions, observability, error handling, and performance under real user load.
• Work directly with engagement managers and clients to scope solutions, estimate effort and explain technical tradeoffs in plain language.
• Review code and help raise engineering standards across the team.

Conoscenze

JavaScript

TypeScript

React

Node.js

Python

AI in production

LLM tooling

Automated testing

English communication

Strumenti

LangChain

LangGraph

OpenAI API

Anthropic API

REST APIs

n8n

Playwright

Cypress

GitHub

Git

Descrizione del lavoro

AI Engineer – Location: Remote. You must live in Brazil, Colombia, or the Philippines; applications from other countries are not considered. Type: Full-time.

About Dry Ground AI: Dry Ground AI helps mid-market companies become AI native. We design, build and run custom software, AI agents and automation workflows that operate in production for real businesses, not demos. We are a fully remote team working with clients across the U.S.

The role

We are looking for a senior AI Engineer who can own features end to end: the interface, the backend, the integrations and the AI behavior behind them. You are a strong software engineer first, with the judgment to apply AI where it creates real business leverage. This is a generalist role. You will move between client projects as priorities shift, so we value people who can hit the ground running, pick up a new codebase quickly and keep momentum when switching from project A to project B. Quality and security are part of how we build, not a separate step. Our engineers ship through Kaiken, our AI-assisted delivery workflow, with automated tests, Playwright end-to-end checks and security scanning on every change. You write the tests that prove your feature works.

What you will do

• Design, build and ship full-stack applications with React and TypeScript on the front end and Node.js or Python on the backend.
• Build AI agents, conversational interfaces and multi-step workflows using LLM APIs and frameworks such as LangChain and LangGraph.
• Connect AI systems to the tools our clients run on: CRMs, property management and CMS platforms, data sources and internal tools, through REST APIs, webhooks and automation platforms such as n8n.
• Plan how each new feature will be tested, then write and maintain the automated tests and evaluations for it.
• Design for production: authentication and permissions, observability, error handling, and performance under real user load.
• Work directly with engagement managers and clients to scope solutions, estimate effort and explain technical tradeoffs in plain language.
• Review code and help raise engineering standards across the team.

What we are looking for

• 5 or more years as a full-stack or senior software engineer.
• Strong JavaScript and TypeScript, with hands-on React experience.
• Backend experience with Node.js and/or Python, including API design and integrations.
• AI features you have shipped to production and supported, not only prototypes.
• Working knowledge of LLM tooling (OpenAI or Anthropic APIs, LangChain or similar), prompt and context design, and retrieval-augmented generation.
• Habit of writing automated tests; experience with Playwright, Cypress or similar.
• Daily use of AI-assisted development tools such as Claude Code or Cursor, with Git and GitHub.
• Fluent written and spoken English; you will join client calls and write client-facing updates.

Nice to have

• Security experience: secure coding, secrets management, access control, dependency scanning.
• CI/CD and cloud deployment, ideally AWS (GitHub Actions, containers, managed databases).
• Capacity planning and scaling, such as moving a system from SQLite to Postgres or handling traffic spikes.
• Vector databases, embeddings, OCR or document-extraction pipelines.
• Voice AI, real-time or event-driven systems.
• Consulting or agency background with direct client delivery.

What we offer

• Competitive compensation with performance-based bonuses.
• Fully remote, flexible schedule.
• High ownership: your decisions shape how our systems are built.
• Real AI systems in production across multiple industries.
• Training and development support.