Job Title: Full Stack Engineer Company Name: Darkroom Job Url: https://simplify.jobs/jobs?query=Full+stack&state=North+America&points=83%3B-170%3B7%3B-52&experience=Mid+Level%3BSenior&category=AI%2FML%2FGenAI+Engineering%3BBackend+Engineering%3BFrontend+Engineering%3BFull-Stack+Engineering%3BSoftware+Engineering&jobId=16f39937-71db-4909-b533-3761aaa53672&workArrangement=Remote Job Description: Full Stack Engineer Shadow Confirmed live in the last 24 hours Unlock job analytics with Simplify+ Darkroom 51-200 employees Digital growth marketing for direct-to-consumer brands Compensation Overview $200k - $250k/yr + Performance Bonus + Equity Senior New York, NY, USA Remote Remote-first culture; role supports remote work with hubs in NY, SF, Lisbon, São Paulo, Barcelona. Category Software Engineering (1) Full-Stack Engineering Required Skills Skills that you prefer have been highlighted Kubernetes Python React.js Docker TypeScript REST APIs Google Cloud Platform LLM Claude Postgres Get referrals → You have ways to get a Darkroom referral from your network. Applications through a referral are 3x more likely to get an interview! Summary Full Job Posting You match the following Darkroom's candidate preferences Employers are more likely to interview you if you match these preferences: Degree Experience You have ways to get a Darkroom referral from your network. Get referrals → Requirements 5+ years of professional software engineering experience with end-to-end ownership in a full-stack role. Strong hands-on experience with Python and/or Node.js on the backend and React + TypeScript on the frontend. Deep understanding of front-end state management — how to structure, scope, and evolve state as complexity grows. Familiarity with patterns like React Query / TanStack Query for server state. Experience designing and working with relational data models (PostgreSQL). Comfort operating in a cloud environment (GCP or similar) and deploying containerized services (Docker; Kubernetes familiarity a plus). Proven experience integrating AI/ML systems into production products — especially LLMs, retrieval-augmented workflows, or agentic systems. Strong product instincts: you think about UX, performance, and correctness, not just implementation. Ability to reason about complex systems and make them simpler, more reliable, and easier to work with. Responsibilities Own full-stack features end-to-end — from database models and APIs to frontend integration and UX correctness. Design and extend backend systems that power complex agent orchestration — subagents, skills, knowledge base retrieval, parallel execution, and long-running workflows. Build and evolve REST APIs that are stable, well-typed, and easy for the frontend and agents to consume. Integrate and debug LLM-powered workflows — prompts, tools, retrieval, evaluation loops — with a strong focus on reliability and observability. Ensure frontend and backend systems interoperate cleanly: tight contracts, predictable data flow, and minimal friction. Improve performance, resilience, and security across the stack as usage and complexity grow. Use coding agents (Claude Code, Cursor, etc.) as force multipliers to move faster and push quality higher. Collaborate closely with product and design to turn ambiguous ideas into shipped, production-grade features. Raise the technical bar through thoughtful code reviews, architectural discussions, and mentorship of junior engineers. Desired Qualifications Prior experience at an early-stage startup or as a founder. Background working on AI-powered or data-intensive products. Keyword Match Needs Work - 11 out of 24 found Darkroom Website View Company Profile Darkroom Agency delivers digital growth marketing for global brands, boosting online conversions and shaping brand identity by launching or rebranding products and managing multi-channel advertising campaigns. Its approach centers on a dedicated team that partners with clients to optimize direct-to-consumer performance, increasing metrics like average order value and customer lifetime value. The firm differentiates itself through close work with venture capital and private equity firms and a track record of measurable results, such as a 40% lift in conversions for VYBES and 16x international revenue growth for Maaji. Its goal is to help VC/PE-backed brands grow revenue and efficiency across digital platforms by maximizing conversions and revenue potential. Company Size 51-200 Company Stage N/A Total Funding N/A Headquarters Katowice, Poland Founded 2017