{"id":783980,"url":"https://alion.io/job/workana-ai-web-scraping-engineer-stealth-data-acquisition","title":"AI Web Scraping Engineer (Stealth Data Acquisition)","company":{"id":2402,"name":"Workana","domain":"workana.com","url":"https://alion.io/company/workana","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":93,"open_postings":32,"ghost_share":0,"stale_share":0.281,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States","San Francisco, United States","Washington, United States","Denver, United States","Seattle, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":128000,"max_usd":284000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Akamai","optional":false},{"name":"Beautiful Soup","optional":false},{"name":"Cloudflare","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Playwright","optional":false},{"name":"Puppeteer","optional":false},{"name":"Python","optional":false},{"name":"Selenium","optional":false},{"name":"Self-Healing","optional":false},{"name":"TypeScript","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Celery","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-11-06T06:03:25Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"description":"About Our Client\nPinwheel API is a leading data infrastructure company enabling seamless access to employment and income verification data through secure APIs. The company powers payroll connectivity for fintechs, lenders, HR platforms, and financial services across the US market.\nRole Overview\nAs an AI Web Scraping Engineer (Stealth Data Acquisition), you will be responsible for designing, building, and maintaining resilient, undetectable data collection systems at scale. This is not a \"requests + BeautifulSoup\" role - we need someone who has operated against modern anti-bot infrastructure (Cloudflare, PerimeterX, DataDome, Akamai, Kasada) and knows how to stay under the radar while extracting structured data reliably and continuously. You will integrate AI/LLM-based parsing to handle dynamic, unstructured, or frequently-changing page layouts and build self-healing scrapers that detect layout/DOM changes and adapt automatically.\nResponsibilities\nStealth Scraping Pipeline Development - Design, build, and maintain stealth-based scraping pipelines that evade bot detection, fingerprinting, and rate-limiting defenses.\n Anti-Bot Reverse Engineering - Reverse-engineer target sites' anti-automation measures (TLS/JA3 fingerprinting, canvas/WebGL fingerprinting, behavioral detection) and build countermeasures.\nDistributed Infrastructure Architecture - Architect distributed scraping infrastructure using rotating residential/mobile proxies, headless browser farms, and session/cookie management at scale.\nAI-Powered Parsing Integration - Integrate AI/LLM-based parsing to handle dynamic, unstructured, or frequently-changing page layouts without brittle selectors.\nSelf-Healing Scraper Development - Build self-healing scrapers that detect layout/DOM changes and adapt automatically.\nMonitoring & Iteration - Monitor scraper health, success rates, and detection signals; rapidly iterate when sites patch defenses.\n Compliance & Legal Guardrails - Ensure data pipelines are compliant with client-defined legal and ethical guardrails (ToS review, robots.txt handling, rate limiting) as directed by Pinwheel's legal/compliance team.\nData Pipeline Collaboration - Collaborate with data engineering to deliver clean, structured, deduplicated datasets into downstream systems.\nRequirements\n 4+ years building production web scraping systems at scale (not just scripts - real infrastructure).\n Deep hands-on experience with headless browser automation (Playwright, Puppeteer, Selenium) including stealth plugins/patches.\nPractical experience defeating or working around Cloudflare, DataDome, PerimeterX, Akamai Bot Manager, Kasada, or similar.\nStrong understanding of TLS fingerprinting, HTTP/2 fingerprinting, canvas/WebGL fingerprinting, and browser fingerprint spoofing.\nExperience with residential/mobile/datacenter proxy rotation and session management at scale.\nProficiency in Python and/or Node.js/TypeScript for scraping and orchestration.\nExperience using LLMs/AI models for content extraction, parsing, and classification on messy/unstructured HTML.\nFamiliarity with CAPTCHA-solving approaches and detection-avoidance strategies.\nMust be based in and authorized to work in the United States.\nMust pass a standard background check prior to start.\n Comfortable working in a fast-moving, iterative environment where target sites change defenses frequently.\nNice to Have\nExperience with mobile app API reverse engineering (in addition to web).\nBackground in adversarial ML or anti-bot research (from either side).\nExperience with distributed task queues (Celery, Kafka, SQS) for scraping orchestration.\nPrior work in a data-as-a-service, alt-data, or web intelligence company.\nBenefits\nCompensation in 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