Senior AI Data Engineer
Pulse Intelligence Partners|Posted 10 days ago
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Skills and experience
Location and salary
Role description
About Pulse Intelligence
Pulse Intelligence is building the definitive data platform for the global mining industry. We aggregate, process, and enrich data from hundreds of sources (regulatory filings, stock exchanges, company websites, news, and financial APIs) to give mining investors and analysts a real-time, comprehensive view of every mining asset, company, and commodity on the planet.
Our platform combines large-scale web scraping with LLM-powered data extraction to turn unstructured documents (NI 43-101 technical reports, RNS announcements, SEDAR filings) into structured, queryable intelligence. We're a small team shipping fast, and every engineer has an outsized impact on the product.
About the Role
We're looking for a Senior AI Data Engineer to take ownership of our entire data pipeline, from raw document ingestion through AI-powered extraction to clean, structured records in our database. You'll be the technical lead on data acquisition and enrichment: architecting scrapers for new sources, designing LLM extraction strategies, making decisions on data modeling, and driving the quality and coverage of our mining asset database.
This is a high-autonomy role for someone who can see the big picture and execute on the details. You'll decide which data sources to prioritise, how to structure extraction pipelines, and when to invest in automation vs. manual curation. You'll ship scrapers one day, redesign an entity extraction pipeline the next, and mentor the team on best practices throughout.
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About Pulse Intelligence Partners
What we do
Pulse Intelligence Partner (PIP) is revolutionising data, analytics, and automation for the natural resources and commodities industry. Our cutting-edge, fintech-inspired platform integrates AI and machine learning to automate investment management, asset research, and documentation. By distilling vast amounts of market information, we enable executives and financiers to spend more time strategising and less time searching for data.
Why Work For Us
Be part of a fast-growing, fully remote startup that’s transforming the natural resources industry. At Pulse Intelligence, you’ll work with cutting-edge technologies, free from tech debt, to build innovative solutions that simplify complex data processes. As our team expands, so do the opportunities for growth, promotions, and leadership roles. We value creativity, efficiency, and problem-solving—giving you the freedom to do meaningful work while enjoying a competitive salary and a dynamic, forward-thinking environment.
Our Culture
We’re a small, dedicated team that works like a startup—fast-moving, hands-on, and always learning. We believe in giving people the freedom to work independently, without micromanagement, but we also expect high-quality work in return. With team members based in the UK, South Africa, and Ukraine, we focus on delivering results rather than strict hierarchies.
Our Engineering Processes
At Pulse Intelligence, we build scalable AI-driven solutions using a cutting-edge tech stack, including Python, Kubernetes, OpenAI APIs, and advanced web scraping tools. Our engineers work on sophisticated data models and automation pipelines, requiring strong coding skills, architectural foresight, and adaptability to new technologies. If you’re passionate about AI, automation, and transforming industries beyond mining intelligence, join us to push the boundaries of what’s possible.
Our Hiring Processes
Our Head of Tech is personally leading the interview process, as we are a small, close-knit team that values collaboration and technical excellence. To ensure a fair and efficient selection, candidates will receive a task aligned with the skill level we’re looking for. Based on task submissions, we will shortlist applicants and proceed with interviews.
For more information, visit our website or LinkedIn.
Perks at Pulse Intelligence Partners
Tech Stack
application and data








dev ops






business tool


