AI Enabled Data Scraping Engineer – Junior ( 1 to 2 yrs )
AIMLEAP
2 - 4 years
Bengaluru
Posted: 15/05/2026
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Job Description
AI Enabled Data Scraping Engineer Junior
Experience: 1 to 2 Years
Location: Remote (Work from Home) / Bangalore / India
Mode of Engagement: Full-time
No of Positions: 3
Educational Qualification: B.E / B.Tech / MCA / Computer Science / IT
Industry: AI / Data Engineering / Automation / SaaS
Notice Period: Immediate
What We Are Looking For:
- 12 years of experience in Python-based web scraping, browser automation, and data extraction projects.
- Hands-on experience with Scrapy, Selenium, Playwright, Requests, BeautifulSoup, or similar scraping frameworks.
- Basic understanding of AI/LLM-powered automation workflows using tools such as ChatGPT, OpenAI APIs, Claude, Gemini, or LangChain.
- Experience handling dynamic websites, login sessions, cookies, browser automation, and structured/unstructured data extraction.
- Familiarity with APIs, JSON/XML data handling, databases, and automation scripting using Python.
Responsibilities:
- Develop and maintain web scraping and browser automation scripts for extracting structured and unstructured web data.
- Build scraping workflows using Scrapy, Selenium, Playwright, APIs, and Python automation libraries.
- Assist in AI-powered data extraction and enrichment workflows using LLMs and automation tools.
- Perform data cleaning, validation, transformation, and storage for downstream analytics and AI applications.
- Collaborate with senior engineers, AI teams, and product teams to support scalable data acquisition projects.
- Monitor scraping jobs, debug failures, optimize crawlers, and maintain data quality standards.
Qualifications:
- Bachelors degree in Computer Science, Engineering, IT, or related field.
- Strong hands-on knowledge of Python programming and scraping frameworks such as Scrapy, Selenium, Playwright, or BeautifulSoup.
- Basic understanding of APIs, automation workflows, databases, JSON/XML handling, and cloud concepts.
- Familiarity with AI tools, LLM APIs, browser automation, and modern scraping techniques will be an added advantage.
- Good analytical, debugging, and problem-solving skills with the ability to work in fast-paced environments.
- Familiarity with Git, Docker, Linux, or cloud platforms is a plus.
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