Python Automation Engineer– Web Scraping&AI ( 1 - 4 yrs ), Ernakulam

Python Automation Engineer– Web Scraping&AI Experience: 1– 4 Years Location: Remote (WFH) / Bangalore / India Mode of Engagement: Full-time No of Positions: 3 Industry: AI / SaaS / Automation / Data Engineering Notice Period: Immediate Joiners Preferred What We Are Looking For: 1 – 4 years of experience in Python-based web scraping, browser automation, and large-scale data extraction projects.Strong hands-on experience with Playwright, Selenium, Scrapy, Requests, BeautifulSoup, or similar scraping frameworks. Experience scraping dynamic JavaScript-heavy websites and handling complex DOM structures, login sessions, cookies, proxies, CAPTCHA, and anti-bot protections. Hands-on experience using LLMs and AI tools such as OpenAI APIs, ChatGPT, Claude, Gemini, LangChain, or AI agents for automating unstructured web data extraction and processing workflows.Experience building AI-assisted scraping pipelines for extracting, cleaning, structuring, validating, and enriching unstructured web content. Good understanding of browser automation, headless browsers, web crawling, and scalable scraping architectures. Experience working with APIs, JSON/XML handling, databases, automation workflows, and Python scripting.Familiarity with Docker, Linux, Git, cloud platforms, and workflow orchestration tools is an added advantage. Strong debugging, analytical, and problem-solving skills with the ability to work in fast-paced AI product environments. Responsibilities: Develop and maintain scalable web scraping and browser automation systems for structured and unstructured web data extraction.Build advanced scraping workflows using Playwright, Selenium, Scrapy, APIs, and Python automation frameworks. Handle dynamic JavaScript-based websites, browser rendering challenges, anti-bot protections, proxies, and session management. Build AI-powered extraction and automation workflows using LLMs, AI agents, and modern AI automation frameworks.Work on unstructured content extraction, intelligent parsing, classification, summarization, and data enrichment workflows using AI models. Optimize crawler performance, improve scraping reliability, and maintain high-quality data pipelines. Collaborate with AI, engineering, and product teams for scalable data acquisition and automation projects.Monitor scraping jobs, debug failures, and improve automation efficiency across large-scale scraping systems. Qualifications: Bachelor’s degree in Computer Science, Engineering, IT, or related field. Strong proficiency in Python programming and browser automation frameworks. Good understanding of JavaScript-rendered websites, APIs, automation workflows, and scalable scraping systems.Experience using LLM APIs and AI automation tools for unstructured data workflows is highly preferred. Familiarity with Docker, Linux, Git, AWS/GCP, or cloud deployment environments is a plus. Experience using Playwright, Selenium, Scrapy, APIs, and Python automation frameworks.