{"id":2031489,"url":"https://alion.io/job/darkroom-full-stack-engineer-2","title":"Full-Stack Engineer","company":{"id":3445,"name":"Darkroom","domain":"darkroomagency.com","url":"https://alion.io/company/darkroom","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":8,"ghost_share":0,"stale_share":0.375,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":83000,"period":"year","method":"role_seniority_country_cell","sample_n":26},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"AI Agents","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-07T12:48:31Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-16T17:28:28Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"What we're building\nWe'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.\nWhy join Shadow?\nProduct Ownership You'll ship production code daily and help steer key product and technical decisions.\n\nShape the Engineering Culture You'll influence how we work-tools, processes, standards, and hiring.\n\nWork with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands-some doing $80M-$500M in revenue.\n\nThe agency behind the product\nShadow 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.\nThis is a fully remote role supporting a team in the EST time zone (9 AM-5 PM EST).\nThe role\nYou'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.\nCore Tech & Tools\nLanguages & Frameworks: Python, Node.js, React (TypeScript)\n\nDatastore: PostgreSQL\n\nCloud & Infra: Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes\n\nML/AI: LLMs, RAG, prompt engineering\n\nWhat you'll own\nArchitect and implement full-stack features, from database schema to React components, optimized for scale and reliability.\n\nBuild and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP.\n\nIntegrate, prompt, and debug LLMs and generative AI tools; own RAG or fine-tuning pipelines.\n\nEnsure front-end and back-end systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts.\n\nCollaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production-grade code.\n\nMonitor performance, reliability, and security.\n\nMentor junior engineers through code reviews, architecture reviews, and shared best practices.\n\nMust haves\n5+ years of professional software engineering experience with end-to-end ownership in a full-stack role.\n\nDeep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.\n\nAble to be hands-on with GCP, containerization (Docker/K8s), and building/supporting high-traffic systems.\n\nProven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps.\n\nFamiliarity or strong interest in working with MCP servers.\n\nExceptional problem-solving skills and a product mindset: you think deeply about UX, performance, and business impact.\n\nYou sweat both technical details and end-user experience.\n\nNice to haves\nExperience with multi-step or agentic AI workflows.\n\nBackground in AI infrastructure or tooling companies.\n\nContributions to open-source AI/ML projects.\n\nWhat we offer\nUnlimited PTO + Local holidays (Relevant to your hub): Rebooting is part of the work. Take the time you need to stay sharp.\n\nRemote-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.\n\nParental Leave: Flexible parental leave to support new parents during this important transition.\n\nGrowth: 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.\n\nEqual Opportunity Statement\nWe 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. 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