Job Role: Lead-Gen AI Automation Specialist
Reference: BH-347c
Job Type: Freelance
Location: Remote
Daily rate: Negotiable
About Us:
We're a tech-driven recruitment company focused on redefining technical recruitment by integrating deep engineering expertise with intelligent automation. As we scale our business outreach, we're building out our internal tooling to supercharge lead generation, data enrichment, and sales intelligence.
We’re looking for a Lead-Gen AI Automation Specialist with strong Python and GenAI/NLP/ML experience to develop robust scraping and enrichment systems that extract and transform company data into valuable insights.
Key Responsibilities:
- Architect and implement autonomous AI agents for end-to-end lead generation workflows (data discovery → enrichment → scoring → CRM ingestion).
- Design and implement web scraping scripts to extract structured and unstructured data from various sources including websites, directories, job boards, company databases, and social platforms.
- Develop robust data parsing workflows to transform raw HTML/JSON into structured datasets ready for use in downstream processes.
- Use LLMs (like GPT, Claude, or similar) to analyse scraped data, identify patterns, enrich leads, classify companies, and generate sales-relevant metadata.
- Work closely with our sales and marketing teams to feed enriched data into CRMs, outreach tools, and lead scoring systems.
- Store and manage data in queryable formats (JSON, CSV, Parquet).
Requirements/experience:
- Strong Python experience
- Strong NLP experience
- Experience with Agentic Architecture and building Autonomous Agents (using frameworks like LangChain, LangGraph, CrewAI)
- Hands-on experience with GenAI/LLM APIs (e.g. OpenAI, Anthropic, Google Gemini) for data understanding and transformation.
- Comfortable working independently in a fast-paced, outcomes-driven team.
Additional/Desirable experience:
- Background in recruitment, HRTech, or Sales Engineering (for Lead Gen)
- Experience integrating scraped/enriched data with CRMs or outbound automation platforms.
- Familiarity with proxy services, headless browsers, and anti-scraping countermeasures.
- Experience with databases (SQL and/or NoSQL) and data pipelines.
- Familiarity with data visualization or dashboards (e.g. Streamlit, PowerBI, Metabase).
- Experience with serverless functions or workflow orchestrators (e.g. AWS Lambda, Prefect, Airflow).
- Build reusable scraping modules with anti-bot techniques (proxy rotation, headers, captchas) and ensure scripts remain functional as website structures evolve.
- Understanding of sales data use-cases: company profiling, lead scoring, ICP tagging, enrichment.