Full-Stack Engineer

darkroomBrazilShadow

Apply on company site

Opens the official darkroom careers page

Salary

Not listed

Job type

Full-time

Work mode

Remote

Experience

Senior · 5+ yrs

Posted

7 Oct 2026

Status

Open · checked 7d ago

About this role

This Full-Stack Engineer position is based remotely in Brazil and supports a team operating within the EST time zone from 9 AM to 5 PM EST. The role suits an experienced developer with a strong background in both back-end and front-end technologies, particularly those who want to build production-grade AI and machine learning applications.

Role Overview

The Full-Stack Engineer works at the intersection of the back-end and front-end to connect databases, APIs, user interfaces, and machine learning services. Responsibilities include designing end-to-end features, driving architecture decisions, and mentoring peers while building AI-driven experiences for consumer brands.

Key Responsibilities

Architect and implement full-stack features ranging from database schemas to React components.

Build and maintain data pipelines, distributed services, and APIs within the cloud environment.

Integrate, prompt, and debug generative AI tools and large language models, including retrieval-augmented generation pipelines.

Coordinate front-end and back-end systems to optimize data flow, reduce friction, and enforce contracts.

Monitor system performance, security, and reliability while collaborating across product, design, and infrastructure teams.

Mentor junior engineers through code reviews, architecture discussions, and best practices.

Requirements

Five or more years of professional software engineering experience in full-stack development with end-to-end ownership.

Strong expertise in Python, Node.js, React, TypeScript, and PostgreSQL.

Hands-on experience with Google Cloud Platform, containerization technologies, and high-traffic systems.

Demonstrated background in integrating machine learning models, such as large language models and retrieval-augmented generation, into production applications.

Familiarity or strong interest in working with Model Context Protocol servers.

Strong problem-solving abilities and a product mindset focused on user experience and business impact.

Nice to Have

Experience working with multi-step or agentic artificial intelligence workflows.

Previous background in artificial intelligence infrastructure or tooling organizations.

Contributions to open-source artificial intelligence or machine learning projects.

Skills and Tools

Python

Node.js

React

TypeScript

PostgreSQL

Google Cloud Platform

Airflow

Terraform

Docker

Kubernetes

LLMs

RAG

Prompt Engineering

Salary and Benefits

Unlimited paid time off plus local holidays relevant to the employee hub.

Flexible parental leave to support new parents.

Professional growth opportunities through exposure to interdisciplinary projects and industry-leading technology.

About the Company

Darkroom operates a performance marketing agency that has been active for 10 years, employing over 100 people and managing numerous client accounts simultaneously. The organization builds technology products, including an artificial intelligence coordination layer for marketing teams, utilizing real marketing data at scale from its agency operations.

How to Apply

Candidates should apply directly on the official company careers page.

Skills and tech stack

Python Node.js React TypeScript PostgreSQL Google Cloud Platform Airflow Terraform Docker Kubernetes LLMs RAG NLP GCP Fine-tuning Prompt Engineering Generative AI

Questions candidates ask

What are the working hours for this role?

The role supports a team in the EST time zone with working hours from 9 AM to 5 PM EST.

How many years of experience are required?

Candidates must have 5 or more years of professional software engineering experience with end-to-end ownership in a full-stack role.

What technologies are used in the core tech stack?

The core tech stack includes Python, Node.js, React with TypeScript, PostgreSQL, Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes, and LLM-related tools.

Is this position remote?

Yes, this is a fully remote role based in Brazil.

What benefits are provided?

Benefits include unlimited PTO with local holidays, flexible parental leave, and professional growth opportunities.

Ready to apply?

The application is on the official darkroom careers page.

Apply on company site

Job details

Salary

Not listed

Location

Brazil

Work mode

Remote

Job type

Full-time

Experience

Senior · 5+ yrs

Department

Shadow

Posted

7 Oct 2026

Status

Open · checked 7d ago

darkroom customer.io

Darkroom operates a performance marketing agency that has been running for 10 years, employing over 100 people and managing over 100 clients at a time while working with more than 1,000 consumer brands. Alongside the agency, Darkroom builds Shadow, an AI coordination layer designed to empower small teams in marketing operations by shifting from workflow automation to agent management. Shadow provides shared AI memory, centralized agent control, and model orchestration, serving fast-growing consumer brands with revenues between $80 million and $500 million. The agency functions as the proving ground and first user, supplying real marketing data at volume from day one. To support the engineering and development of these systems, the company is building technical teams through open roles such as a Full-Stack Engineer. This position is structured as a fully remote role based in Brazil that supports an Eastern Standard Time zone schedule. The role requires broad technical ownership across back-end and front-end infrastructure, including Python, Node.js, React with TypeScript, PostgreSQL, Google Cloud Platform, and machine learning components such as large language models, retrieval-augmented generation, and prompt engineering. The engineering team focuses on architecture decisions, daily production code shipments, and shaping internal processes and tooling.

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