Full-Stack Engineer

Darkroom
Brazil
Remote

Who this role is best for

Strong fit for full-stack engineers who architect and implement AI/ML-powered features in consumer marketing tech, with experience in Python, Node.js, React, and GCP.

Best fit for

  • Candidates with 5+ years of full-stack ownership and AI integration experience in marketing tech
    — “5+ years of professional software engineering experience with end‑to-end ownership in a full‑stack role”
  • Individuals who have worked with LLMs, RAG, and prompt engineering in production environments
    — “Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps”
  • Engineers with a background in performance marketing or agency-based tech solutions
    — “The agency is both our proving ground and our first user, which means the data you build with is real marketing data at real volume from day one”

Things to consider

  • Requires working with a team in the EST time zone despite being a remote role
    — “This is a fully remote role supporting a team in the EST time zone (9 AM–5 PM EST)”
  • Candidates should be prepared to collaborate closely with product, design, and research teams
    — “Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production‑grade code”

How to stand out

  • Highlight end-to-end feature ownership and experience with AI/ML model integration
    — “Architect and implement full‑stack features, from database schema to React components, optimized for scale and reliability”
  • Emphasize hands-on experience with GCP, Docker, and Kubernetes in high-traffic systems
    — “Able to be hands‑on with GCP, containerization (Docker/K8s), and building/supporting high‑traffic systems”
  • Showcase ability to mentor junior engineers and drive technical decisions
    — “Mentor junior engineers through code reviews, architecture reviews, and shared best practices”
  • Demonstrate deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL
    — “Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL”
  • Include experience with AI infrastructure or tooling companies in your background
    — “Background in AI infrastructure or tooling companies”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • 5+ years of professional software engineering experience with end-to-end ownership in a full-stack role
Typical background
full-stack development experience

Skills & requirements

Required

Full-stack DevelopmentPythonNode.jsReactPostgreSQLCloud InfrastructureAi/ml Integration

Preferred

Multi-step Or Agentic AI WorkflowsAI Infrastructure

Stack & domain

Full-stack DevelopmentPythonNode.jsReactTypeScriptPostgreSQLGoogle Cloud PlatformAirflowTerraformDockerKubernetesLlmsRAGPrompt EngineeringMCP ServersProblem SolvingProduct MindsetAttention To DetailCollaborationCommunicationAdaptabilityAIMachine LearningCloud ComputingMarketing Operations

About the role

Original posting from Darkroom via Ashby

WHAT WE'RE BUILDING

We're empowering small teams with technology that makes it easier to market and grow businesses. Our current focus is to help consumer brands shift from "workflow automation" to "agent management" within their marketing operations. Shadow is the AI coordination layer — providing shared AI memory, centralized agent control, and model orchestration for marketing teams.

WHY JOIN SHADOW?

  • Product Ownership You'll ship production code daily and help steer key product and technical decisions.
  • Shape the Engineering Culture You'll influence how we work—tools, processes, standards, and hiring.
  • Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands—some doing $80M–$500M in revenue.

THE AGENCY BEHIND THE PRODUCT

Shadow is built alongside Darkroom — a performance marketing agency that's been operating for 10 years, employs 100+ people, runs 100+ clients at a time, and has worked with over 1,000 consumer brands. The agency is both our proving ground and our first user, which means the data you build with is real marketing data at real volume from day one — not a synthetic demo.

This is a fully remote role supporting a team in the EST time zone (9 AM–5 PM EST).

THE ROLE

You'll sit squarely at the intersection of back‑end and front‑end, ensuring seamless integration between APIs, databases, UIs, and ML services. You'll design, build, and scale features end‑to‑end, especially our AI/ML‑powered experiences, while mentoring peers and driving architecture decisions.

Core Tech & Tools

  • Languages & Frameworks: Python, Node.js, React (TypeScript)
  • Datastore: PostgreSQL
  • Cloud & Infra: Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes
  • ML/AI: LLMs, RAG, prompt engineering

WHAT YOU'LL OWN

  • Architect and implement full‑stack features, from database schema to React components, optimized for scale and reliability.
  • Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP.
  • Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fine‑tuning pipelines.
  • Ensure front‑end and back‑end systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts.
  • Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production‑grade code.
  • Monitor performance, reliability, and security.
  • Mentor junior engineers through code reviews, architecture reviews, and shared best practices.

MUST HAVES

  • 5+ years of professional software engineering experience with end‑to‑end ownership in a full‑stack role.
  • Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.
  • Able to be hands‑on with GCP, containerization (Docker/K8s), and building/supporting high‑traffic systems.
  • Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps.
  • Familiarity or strong interest in working with MCP servers.
  • Exceptional problem‑solving skills and a product mindset: you think deeply about UX, performance, and business impact.
  • You sweat both technical details and end-user experience.

NICE TO HAVES

  • Experience with multi‑step or agentic AI workflows.
  • Background in AI infrastructure or tooling companies.
  • Contributions to open‑source AI/ML projects.

WHAT WE OFFER

  • Unlimited PTO + Local holidays (Relevant to your hub): Rebooting is part of the work. Take the time you need to stay sharp.
  • Remote-First Culture: Many roles are fully remote. Employees based in or near our New York or Lisbon HQs are expected to work hybrid with weekly in-office time. Hub locations include Brazil and Spain.
  • Parental Leave: Flexible parental leave to support new parents during this important transition.
  • Growth: Our interdisciplinary model gives every employee exposure far beyond their core role. Grow your skills, expand your influence, and stay at the forefront of the industry.

EQUAL OPPORTUNITY STATEMENT

We are an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Source: Darkroom careers (Ashby)

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