AI Automation Lead

🕒 September 18

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 18%

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ASC Global

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

🏭 Manufacturing

📦 Logistics

🚀 Aerospace

Manufacturing • Logistics • Aerospace

ASC Global is a global distributor and supply-chain partner for electronic components and MRO & industrial automation products. The company provides global sourcing, franchised distribution, inventory management (including VMI and excess stock management), custom manufacturing and cross-reference engineering, and quality testing services for industries such as aerospace, automotive, medical, energy, telecommunications, and consumer electronics. Founded in 1997, ASC operates worldwide with multiple offices, ISO/AS certifications, large in-stock inventory and capabilities for obsolescence management and flight/mission-grade screening to support mission-critical programs.

📋 Description

• Build and operate the crawling, data-ingestion, normalization and matching platform • Handle static and JavaScript-rendered sites, PDFs, pagination and multilingual content • Maintain full source provenance on every record • Design the canonical product, supplier and offer data model • Build entity-resolution logic that matches listings to real parts • Use LLMs for extraction, translation and classification with evaluation, confidence thresholds and human review • Connect the platform to Zoho CRM's RFQ workflow and, downstream, QuickBooks • Work with Sales, Purchasing, Operations and Finance to identify AI and automation opportunities • Turn opportunities into practical pilots, train employees and track impact • Deliver a working architecture and data model within the first 90 days • Connect at least 10 sources with full provenance • Provide searchable, normalized product and supplier data • Measure matching accuracy and implement source-health monitoring • Deliver an initial Zoho RFQ integration • Create a documented plan for scaling to hundreds of sources

🎯 Requirements

• Five or more years of hands-on software/data-engineering experience with real production ownership of web-crawling or large-scale data-acquisition systems — not personal projects or coursework • Advanced Python and strong SQL • Experience with a production crawling framework (e.g. Scrapy) and browser automation (Playwright or Selenium) for JavaScript-rendered sites • Solid grounding in HTTP, rate limiting, retries, queues and failure recovery • Experience building normalized pipelines from messy, conflicting data, plus entity resolution / fuzzy matching / deduplication work backed by real accuracy numbers • Strong PostgreSQL (or similar), plus Docker and at least one major cloud platform • Comfortable using LLM APIs in production — structured outputs, evaluation, cost control — without treating them as a replacement for deterministic checks • Personally implemented an AI or automation solution inside a real company, ideally across more than one department • Comfortable running training and translating business needs into requirements for other engineers • Nice to have: Temporal, Dagster, Prefect or Airflow • Nice to have: OpenSearch or Elasticsearch • Nice to have: RapidFuzz, Splink or embeddings-based matching • Nice to have: Zoho, Salesforce, HubSpot, QuickBooks or other ERP integrations • Nice to have: Electronic components or other complex technical catalogs • Nice to have: Prior experience as the first or lead engineer on a new platform

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