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techroles

Full-Stack Engineer

Darkroom darkroomagency.com Open
Hybrid New York Full-time Mid-level Full-stack Engineering

At a glance

Mid-level Full-stack Engineering role at Darkroom. New York · full-time · $120,000–$160,000 base.

SalaryStated by Darkroom
$120,000 – $160,000
Base salary for this role, in USD per year, as published in the posting.
This role, from DarkroomOur estimate for the market: $145,250–$215,000Median $168,750
Below the market median of $168,750 for mid-level full-stack engineering roles in New York.
Worked out from 50 postings that stated pay, median $168,750. Last updated Nov 8, 2026.
RoleFull-stack Engineering
SeniorityMid-level
LocationNew York
WorkplaceHybrid
EmploymentFull-time
Base pay$120,000–$160,000
PostedNov 4, 2026
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Build features across the stack, shaping database schemas and React components for reliable performance at scale
  • Create APIs, data pipelines and distributed services that run on Google Cloud
  • Bring language models into product workflows, adjust prompts, troubleshoot results and maintain RAG or fine-tuning pipelines
  • Keep front-end and back-end components working together, then coordinate with product, research, design and infrastructure on releases
  • Review code and architecture with junior engineers while monitoring system performance, reliability and security

What you bring

  • At least five years of professional software engineering, with full-stack work owned from start to finish
  • Deep skills in Python, Node.js, React with TypeScript, and PostgreSQL
  • Practical GCP and Docker or Kubernetes experience, plus work supporting high-traffic systems
  • You have integrated AI or machine-learning models into production software, including LLMs, NLP or RAG

Who this fits

This role suits a hands-on full-stack engineer who can make architecture decisions, deliver AI-powered features and mentor junior colleagues. It is fully remote and supports an Eastern time team from nine to five. Employees near the New York or Lisbon hubs are expected to work in the office weekly.

From the employer

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 It's Like to Work at Darkroom

Darkroom is not a typical agency. We are looking for A players who want to build something great. We move fast, think deeply, and expect every team member to bring insight and rigor to everything they touch. We hold a high bar for performance, creativity, and ownership — but we also support each other relentlessly. No egos, no red tape — just world-class talent building something remarkable.

We believe in autonomy with accountability, truth over comfort, and outcomes over optics.

  • Unlimited PTO + US holidays: 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 the Brazil and Spain.

  • Health & Wellness: Company-sponsored medical, dental, and vision coverage.

  • Finances, growth, and retirement: Darkroom offers a robust 401(k) program with company match and profit-sharing opportunities to help you save and grow as the company grows.

  • Parental Leave: Flexible parental leave to support new parents during this important transition.

  • Growth: Our interdisciplinary model gives every Darkroomer exposure far beyond their core role. Grow your skills, expand your influence, and stay at the forefront of the industry.

Compensation:

The base salary range for this role is $120,000-160,000 per year. This range represents the anticipated minimum and maximum for this position and applies to candidates based in New York, including New York City, in compliance with the New York State Pay Transparency Law and the New York City Salary Transparency Law. Actual compensation within this range will be determined based on experience, skills, and qualifications. This role is also eligible for performance-based compensation. A summary of benefits is listed above.

Equal Opportunity Statement

Darkroom is 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.

Opportunity

Full-stack Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Full-stack Engineering$120k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Full-stack Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.