AI Web Scraping Engineer (Stealth Data Acquisition)

WorkanaSan Francisco, CA

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Overview

Schedule

Full-time

Career level

Senior-level

Remote

Benefits

Career Development

Job Description

About Our Client

Pinwheel 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.

Role Overview

As 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.

Responsibilities

Stealth Scraping Pipeline Development – Design, build, and maintain stealth-based scraping pipelines that evade bot detection, fingerprinting, and rate-limiting defenses.
Anti-Bot Reverse Engineering – Reverse-engineer target sites' anti-automation measures (TLS/JA3 fingerprinting, canvas/WebGL fingerprinting, behavioral detection) and build countermeasures.
Distributed Infrastructure Architecture – Architect distributed scraping infrastructure using rotating residential/mobile proxies, headless browser farms, and session/cookie management at scale.
AI-Powered Parsing Integration – Integrate AI/LLM-based parsing to handle dynamic, unstructured, or frequently-changing page layouts without brittle selectors.
Self-Healing Scraper Development – Build self-healing scrapers that detect layout/DOM changes and adapt automatically.
Monitoring & Iteration – Monitor scraper health, success rates, and detection signals; rapidly iterate when sites patch defenses.
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.
Data Pipeline Collaboration – Collaborate with data engineering to deliver clean, structured, deduplicated datasets into downstream systems.

Requirements

4+ years building production web scraping systems at scale (not just scripts — real infrastructure).
Deep hands-on experience with headless browser automation (Playwright, Puppeteer, Selenium) including stealth plugins/patches.
Practical experience defeating or working around Cloudflare, DataDome, PerimeterX, Akamai Bot Manager, Kasada, or similar.
Strong understanding of TLS fingerprinting, HTTP/2 fingerprinting, canvas/WebGL fingerprinting, and browser fingerprint spoofing.
Experience with residential/mobile/datacenter proxy rotation and session management at scale.
Proficiency in Python and/or Node.js/TypeScript for scraping and orchestration.
Experience using LLMs/AI models for content extraction, parsing, and classification on messy/unstructured HTML.
Familiarity with CAPTCHA-solving approaches and detection-avoidance strategies.
Must be based in and authorized to work in the United States.
Must pass a standard background check prior to start.
Comfortable working in a fast-moving, iterative environment where target sites change defenses frequently.

Nice to Have

Experience with mobile app API reverse engineering (in addition to web).
Background in adversarial ML or anti-bot research (from either side).
Experience with distributed task queues (Celery, Kafka, SQS) for scraping orchestration.
Prior work in a data-as-a-service, alt-data, or web intelligence company.

Benefits

Compensation in USD
Fully remote work
Career growth on an international company

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FAQs About AI Web Scraping Engineer (Stealth Data Acquisition) Jobs at Workana

What is the work location for this position at Workana?

This job at Workana is located in San Francisco, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at Workana?

Employer has not shared pay details for this role.

What employment applies to this position at Workana?

Workana lists this role as a Full-time position.

What experience level is required for this role at Workana?

Workana is looking for a candidate with "Senior-level" experience level.

Does Workana allow remote work for this role?

Yes, this position at Workana supports remote work, giving candidates the flexibility to work outside the primary office location.

What benefits are offered by Workana for this role?

Workana offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.

What is the process to apply for this position at Workana?

You can apply for this role at Workana either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.