Pracuj.pl
None
Senior
New
AI Automation and Data Platform Lead
⚲ Warszawa
15 000–22 000 zł brutto / mies.
Opis stanowiska
Nasze wymagania:
5+ years of hands-on software or data-engineering experience
Proven production ownership of a web-crawling or large-scale data-acquisition system you personally built or operated, 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
Hands-on entity resolution, fuzzy matching or deduplication work, backed by real accuracy numbers
Strong PostgreSQL (or similar), plus Docker and at least one major cloud platform (AWS, GCP or Azure)
Production experience with LLM APIs (structured outputs, evaluation, cost control), using them alongside deterministic checks rather than instead of them
Have personally implemented an AI or automation solution inside a real company, not just used the tools, ideally across more than one department
Able to translate business needs into clear technical requirements and explain technical work to non-technical colleagues
Comfortable running workshops and training to help people adopt new tools
Fluent English
O projekcie:
ASC Global is a global independent distributor and sourcing company serving the electronic components, computer and data-center, industrial MRO and aviation MRO markets. We source semiconductors, passive components, interconnect products, memory, computer hardware, data-center infrastructure and industrial/aviation parts from suppliers worldwide.
We’re building an AI-driven global sourcing and product-intelligence platform. It will continuously monitor hundreds of distributor sites, broker inventories, marketplaces and manufacturer sources. It will identify products, capture pricing and availability, and match every listing to the real, canonical part, so our buyers and sales team can find the right parts faster and quote with confidence.
What the platform does:
Crawls and ingests data from static and JavaScript-rendered sites, PDFs, paginated catalogs and multilingual content
Normalizes messy, conflicting supplier data into one clean product/supplier/offer data model
Matches listings to real parts through entity resolution, with measured matching accuracy
Keeps full source provenance on every record: where it came from, when, and how it changed
Monitors source health, so broken sites or bad data are caught automatically
Uses LLMs where they genuinely help (extraction, translation, classification), with evaluation, confidence thresholds and human review, and never lets a model guess a price or quantity it can’t find
Connects to our Zoho CRM RFQ workflow and, downstream, QuickBooks
Beyond the platform, this role leads AI adoption across the company. You’ll work directly with Sales, Purchasing, Operations, Finance and leadership to find processes AI or automation can improve, run real pilots, train people to use what gets built, and track the impact in hours saved and faster turnaround.
Stage of development:
This is an early-stage, greenfield build. You’ll set the architecture and data model from the start, as the first/lead engineer on the platform. It’s a hands-on role: you write the code, deploy the system, and run the workshops that get people using it.
Milestones for the first 90 days and beyond:
A working architecture and data model within 90 days
At least 10 sources connected with full provenance
Searchable, normalized product and supplier data
Measured matching accuracy and source-health monitoring in place
An initial Zoho RFQ integration
Then: scaling toward hundreds of sources, measurable time savings, and broader AI adoption across departments
Duration:
Long-term, permanent role with ownership of the platform from first build through scaling.
Zakres obowiązków:
Architect, build and operate the crawling, data-ingestion, normalization and matching platform, from first design through production
Handle static and JavaScript-rendered sites, PDFs, pagination and multilingual content, using the right tool for each (plain HTTP vs. browser automation)
Build reliable crawling infrastructure: rate limiting, retries, queues, backoff and failure recovery
Design the canonical product/supplier/offer data model, keeping full source provenance and change history on every record
Develop entity-resolution and deduplication logic that matches supplier listings to real, canonical parts, and measure and report its accuracy
Set up source-health monitoring and alerts so broken sources or bad data are caught automatically
Use LLMs where they genuinely add value (extraction, translation, classification), with evaluation, confidence thresholds, cost control and human review, and never let a model guess a price or quantity
Integrate the platform with Zoho CRM’s RFQ workflow and, downstream, QuickBooks
Deliver the first-90-day milestones: working architecture and data model, at least 10 sources connected, searchable normalized data, measured matching accuracy, monitoring and an initial Zoho RFQ integration
Create and maintain a documented plan for scaling the platform to hundreds of sources
Work directly with Sales, Purchasing, Operations, Finance and leadership to find processes AI or automation can improve
Turn those opportunities into clear requirements and real pilots, and track the impact in hours saved and sourcing turnaround
Run workshops and training so employees actually adopt the tools that get built
Act as the go-to technical owner for the platform, translating between business needs and engineering
Oferujemy:
The chance to build an AI-driven global sourcing platform from the ground up, as the first/lead engineer
Real ownership: you set the architecture, data model and technology choices
A rare hybrid role combining hands-on engineering with leading AI adoption across a global business
Direct access to leadership, buyers, sales and operations, with no layers between you and the people using what you build
Visible, measurable impact on how a global distributor sources and sells
Freedom to experiment with AI and automation, and to turn the best ideas into real pilots
A complex, interesting data domain: millions of parts across electronic components, data-center, industrial and aviation markets
Work with a global company and international suppliers and customers
Hybrid work
Competitive salary
Contract Flexibility - B2B or employment contract
Paid time off, Sports Card Support
5+ years of hands-on software or data-engineering experience
Proven production ownership of a web-crawling or large-scale data-acquisition system you personally built or operated, 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
Hands-on entity resolution, fuzzy matching or deduplication work, backed by real accuracy numbers
Strong PostgreSQL (or similar), plus Docker and at least one major cloud platform (AWS, GCP or Azure)
Production experience with LLM APIs (structured outputs, evaluation, cost control), using them alongside deterministic checks rather than instead of them
Have personally implemented an AI or automation solution inside a real company, not just used the tools, ideally across more than one department
Able to translate business needs into clear technical requirements and explain technical work to non-technical colleagues
Comfortable running workshops and training to help people adopt new tools
Fluent English
O projekcie:
ASC Global is a global independent distributor and sourcing company serving the electronic components, computer and data-center, industrial MRO and aviation MRO markets. We source semiconductors, passive components, interconnect products, memory, computer hardware, data-center infrastructure and industrial/aviation parts from suppliers worldwide.
We’re building an AI-driven global sourcing and product-intelligence platform. It will continuously monitor hundreds of distributor sites, broker inventories, marketplaces and manufacturer sources. It will identify products, capture pricing and availability, and match every listing to the real, canonical part, so our buyers and sales team can find the right parts faster and quote with confidence.
What the platform does:
Crawls and ingests data from static and JavaScript-rendered sites, PDFs, paginated catalogs and multilingual content
Normalizes messy, conflicting supplier data into one clean product/supplier/offer data model
Matches listings to real parts through entity resolution, with measured matching accuracy
Keeps full source provenance on every record: where it came from, when, and how it changed
Monitors source health, so broken sites or bad data are caught automatically
Uses LLMs where they genuinely help (extraction, translation, classification), with evaluation, confidence thresholds and human review, and never lets a model guess a price or quantity it can’t find
Connects to our Zoho CRM RFQ workflow and, downstream, QuickBooks
Beyond the platform, this role leads AI adoption across the company. You’ll work directly with Sales, Purchasing, Operations, Finance and leadership to find processes AI or automation can improve, run real pilots, train people to use what gets built, and track the impact in hours saved and faster turnaround.
Stage of development:
This is an early-stage, greenfield build. You’ll set the architecture and data model from the start, as the first/lead engineer on the platform. It’s a hands-on role: you write the code, deploy the system, and run the workshops that get people using it.
Milestones for the first 90 days and beyond:
A working architecture and data model within 90 days
At least 10 sources connected with full provenance
Searchable, normalized product and supplier data
Measured matching accuracy and source-health monitoring in place
An initial Zoho RFQ integration
Then: scaling toward hundreds of sources, measurable time savings, and broader AI adoption across departments
Duration:
Long-term, permanent role with ownership of the platform from first build through scaling.
Zakres obowiązków:
Architect, build and operate the crawling, data-ingestion, normalization and matching platform, from first design through production
Handle static and JavaScript-rendered sites, PDFs, pagination and multilingual content, using the right tool for each (plain HTTP vs. browser automation)
Build reliable crawling infrastructure: rate limiting, retries, queues, backoff and failure recovery
Design the canonical product/supplier/offer data model, keeping full source provenance and change history on every record
Develop entity-resolution and deduplication logic that matches supplier listings to real, canonical parts, and measure and report its accuracy
Set up source-health monitoring and alerts so broken sources or bad data are caught automatically
Use LLMs where they genuinely add value (extraction, translation, classification), with evaluation, confidence thresholds, cost control and human review, and never let a model guess a price or quantity
Integrate the platform with Zoho CRM’s RFQ workflow and, downstream, QuickBooks
Deliver the first-90-day milestones: working architecture and data model, at least 10 sources connected, searchable normalized data, measured matching accuracy, monitoring and an initial Zoho RFQ integration
Create and maintain a documented plan for scaling the platform to hundreds of sources
Work directly with Sales, Purchasing, Operations, Finance and leadership to find processes AI or automation can improve
Turn those opportunities into clear requirements and real pilots, and track the impact in hours saved and sourcing turnaround
Run workshops and training so employees actually adopt the tools that get built
Act as the go-to technical owner for the platform, translating between business needs and engineering
Oferujemy:
The chance to build an AI-driven global sourcing platform from the ground up, as the first/lead engineer
Real ownership: you set the architecture, data model and technology choices
A rare hybrid role combining hands-on engineering with leading AI adoption across a global business
Direct access to leadership, buyers, sales and operations, with no layers between you and the people using what you build
Visible, measurable impact on how a global distributor sources and sells
Freedom to experiment with AI and automation, and to turn the best ideas into real pilots
A complex, interesting data domain: millions of parts across electronic components, data-center, industrial and aviation markets
Work with a global company and international suppliers and customers
Hybrid work
Competitive salary
Contract Flexibility - B2B or employment contract
Paid time off, Sports Card Support
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