AI Scraper Engineer  

What you’ll do

Build and maintain production-grade scrapers in Python (and supporting tooling), from API clients to headless browser flows where needed.

Reverse-engineer sites and mobile/web apps: discover internal/private APIs, headers, auth flows, pagination, and rate limits; document findings for the team.

Operate in the full “scraping stack”: proxies (residential/datacenter/mobile rotation), browser fingerprints, cookies/sessions, captcha/mitigation strategies where ethical and legal.

Use Playwright (or equivalent) for high-defense targets where pure requests isn’t enough; keep runs stable, observable, and cost-aware.

Collaborate remotely with fluent English (written and spoken) for specs, incidents, and architecture discussions with our team.

Use AI coding assistants (e.g. Cursor, Codex, ChatGPT-class tools) as a normal part of workflow—shipping fixes and features fast while preserving code quality, security, and performance.

Lay groundwork for generative-AI orchestration: prompts/tooling that propose or adjust scraper logic, schedules, proxy usage, and failure recovery (within compliance boundaries).

To Apply

Please submit your project related to Web Scraping. The targets, stacks, methodology, challenges, and output.

• English communication skill is a must;
• Ability to explore & experiment to do reverse engineering;
• 2 years of working / project experience especially in Web scraping and data-ingestion pipelines;
• Hands-on experience with proxies, IP rotation, session stickiness, and anti-bot concepts (fingerprints, headers, behavioral signals);
• Openness to hybrid: remote initially, with expectation to work on-site/offline with the team later (details to align during hiring).
• Familiarity with LLM APIs, prompt design, and safe patterns for AI-generated code (review, tests, sandbox runs).
• Strong analytical and planning skills;
• Good communication and presentation skills;
• Excellent problem-solving skills;