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1 Job openings at Ekarthaan
Automation Engineer

India

0 years

None Not disclosed

Remote

Full Time

Hello, I amlooking to hire a s killed Automation Engineer who is well-versed in AI, bots, and process automation . This is a long-term, multi-project opportunity with varied tasks that include: What I Looking For: Experience in AI-driven automation Proficiency in bot development and orchestration Ability to manage end-to-end automation workflows Familiarity with tools like Python, Node.js, Selenium, Puppeteer, Zapier, Make, LangChain, Twilio, GPT APIs , etc. Knowledge of process mapping and optimization Source code to be provided Sample Project Areas: Automating repetitive business tasks AI-powered lead generation and outreach Custom chat/voice bot development Integration with CRMs, Gmail, LinkedIn, WhatsApp, Notion, Airtable Dashboard and reporting automation Engagement Type: Freelance / Part-time Remote work Project-based with potential for retainer How to Apply / Contact: If you have relevant experience and can start soon, please send a brief intro, portfolio (if any), and your For example- This could be the first phase of job 1 PHASE 1A — Lead Generation Engine Objective : 1- Build a legally compliant. 2- scalable AI system 3- Takes user-defined inputs (keywords, countries, filters etc) 4- Outputs high quality , accurate , and up-to-date leads (companies + decision-makers) with verified contact details 5- Enriches with LinkedIn API and Email verification APIs 6- Scores data for confidence + freshness 7- Outputs a clean, deduplicated Excel/CSV User Input Upload from Text File or Enter 1–10 keywords in UI (Note: Keyword Entry : Manual or file-based (max 10).) Filters Include: Geographic Filter Modes: Single country (dropdown) Multi-country (checkbox) By region (e.g., Asia, Europe, Americas) Manual entry also allowed (India, Germany) · Company Type Filter UI: Multi-select with checkboxes and custom tags Predefined : o Top Startups, Recently Funded, Unicorns o Series A/B/C Funded o VC-backed, Recently Acquired Custom Tags: · Users can define their own (e.g., “AR Startups”, “Crypto 2025”) Result Limit Options: 100 / 500 Max 500 companies per job in Phase 1A Or limit to 50 per keyword-country combo AI-Powered Research Agent Scrape first 5 pages per keyword and filters above as combo: · General Search Engines : Google, Bing, Yahoo. · AI Search Assistants (we can buy pro subscription if that helps for each) (they can help in post-processing/enrichment) : ChatGPT, Perplexity, Claude, Gemini. · Respect robots.txt, delays, user-agent rotation · Proxy rotation enabled · Store raw source URL and scraped content per match LinkedIn API Integration Match company names to LinkedIn pages Extract: Top public decision-makers: CEO, Founder, CTO, CMO etc Role title, LinkedIn URL, connection degree (if available) Recent activity (optional) Email Verifier Integration APIs: Hunter, Snov.io, Apollo (if whitelisted) Only return: Public or scored-verified emails Email confidence score (0–100) Email type: Professional / Generic / Inferred LLM-Based Tagging (Optional) Use OpenAI/GPT to: Extract industry tags Score fit vs keyword (0–100 relevance) Business Intelligence & Lead Databases: (Probably Next Phase 1B) · Crunchbase, PitchBook, CB Insights, Lead411 · ZoomInfo, Apollo.io, Clay.com, PhantomBuster · Gartner Magic Quadrant, Y Combinator, Techstars · Forbes Cloud 100, Sequoia, Tiger Global, McKinsey, Deloitte, BCG Output (Google Sheet Excel)

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