Full-Stack Engineer

Darkroom; Austin (TX); On-site; USD 102,000 - 138,000; Full time

Benefits offered by this job

Health, vision, and dental insurance (

Regular team off-sites

Regular hack weeks

Job summary

Darkroom's Shadow is the AI coordination layer that powers marketing teams with shared memory, centralized agent control, and model orchestration. You will sit at the intersection of back-end and front-end, designing, building, and scaling features end-to-end, especially AI/ML-powered experiences, while mentoring peers and guiding architecture decisions.

The role requires 5+ years of experience and deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL, with hands-on GCP,

Qualifications

• 5+ years of professional software engineering with end-to-end ownership in a full-stack role.
• Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.
• Hands-on with GCP, containerization (Docker/K8s), and high-traffic systems.
• Experience integrating AI/ML models (LLMs, NLP, RAG) into production apps.
• Familiarity with MCP servers or related infra tooling is a plus.

Responsibilities

• Architect and implement full-stack features from database to UI, optimized for scale.
• Build and maintain RESTful/GraphQL APIs and data pipelines in GCP.
• Integrate, prompt, and debug LLMs and AI tools; manage RAG or fine-tuning pipelines.
• Ensure smooth interoperability of front-end and back-end systems and secure data flows.
• Mentor junior engineers through code reviews and architecture discussions.

Skills

5+ years full-stack

Python

Node.js

React/TypeScript

PostgreSQL

GCP

Docker

Kubernetes

LLMs/RAG integration

NLP

Tools

Google Cloud Platform

Airflow

Terraform

Docker

Kubernetes

Job description

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.

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.

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

• Competitive salary (roles, responsibilities, and comp grow as we do)
• Top‑tier health, vision, and dental insurance (US)
• Regular team off‑sites
• Regular hack weeks

Compensation

Yearly compensation for this role is $120,000. Actual compensation 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

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.