Senior AI Engineer, Data Collection

CUBE AI CORP.
United States
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence BigQuery Cloud Storage Github Information Extraction Python (Programming Language) Large Language Models Pytest Docker

Job description

  • Own the precision and yield of every collection channel we run.
  • Make agent-driven collection something we can depend on rather than a prototype.
  • Open new collection channels, so that no single one dominates what we find.
  • Own extraction and entity resolution: turning inconsistent source data into records we trust.
  • Build the measurement that says whether a change to a channel improved what we collect.
  • Partner with our data engineers to take what you prove into production.
  • Bring judgment about which sources are worth the effort and which are not.

Our stack

  • Python, Poetry, ruff, mypy, pytest
  • Frontier LLM APIs for extraction and agentic work
  • Text search and normalization techniques
  • BigQuery and Cloud Storage
  • GKE, Docker and GitHub Actions
  • AI-assisted, agentic development workflows

Requirements

The bar (non-negotiable, every role):

  • Extreme drive and passion for the work and the mission.
  • Extreme ability to learn fast and operate with confidence in uncertainty.
  • Extreme IQ and EQ. You raise the level of every room, and you lose an argument gracefully the moment someone’s right., * You have applied AI or data science to messy real-world data, in production.
  • Experience with information extraction and entity resolution, and the evaluation to prove it works.
  • You have built something agentic that survived contact with an uncooperative source.
  • Strong Python and strong SQL.
  • Comfortable defining your own metric when nobody hands you one.
  • Fluent written and spoken English.

About the company

CUBE AI is an Agentic Crime Prevention Platform, built at the intersection of agentic AI, cybersecurity, and fraud prevention. We serve the institutions on the front line of an exploding wave of AI-powered crime: banks, fintechs, and the platforms criminals cannot operate without. Our mission is ambitious: make the world a safer place. How we do it is the part we’re most excited about, and the part we’re happy to walk you through in a conversation rather than on the open internet.

Why this is the seat to take

This is a rare seat on a rocket ship. CUBE AI is early, exceptionally ambitious, and backed by some of the world’s leading investors. Our founders have built and scaled startups to unicorn valuations and exits, and have run mega teams at mega companies. We are building the company that puts the institutions the modern economy runs on back on offense against AI-powered crime. The closest analogy is joining Palantir in its early days: a hard mission, a category we’re defining rather than entering, and a small group of exceptional people compounding fast. If you want a comfortable role, this isn’t it. If you want the defining chapter of your career, your best work alongside people who make you sharper, keep reading., * Large-scale web automation.

  • Multilingual data, including non-Latin scripts and local formats.
  • Record linkage or fuzzy matching at scale.
  • An adversarial domain: fraud, security or abuse.

How we work and who thrives here

Our core locations are Lithuania, London, and New York, and we consider remote-first candidates who can travel as needed for their role. We write more than we meet and move at warp speed. We’re an AI-first company: every person here is amplified by a layer of AI agents, and we scale capability, not headcount. We don’t buy services, we buy results. We’re drivers, not passengers, so we hire people who go and do it without waiting for permission. We move fast, and we use judgment where it counts: we hold sensitive data and the trust of the institutions we protect, and we never cut corners there. Our culture runs on five virtues:

  • A pedantic bar for quality. Work that is thorough, complete, and on time. We trust each other to deliver, fully.
  • Radical ownership. See it, own it, fix it. Never defer a problem or an opportunity. You will never be reprimanded for taking initiative.
  • Relentless energy and audacity. Building something exceptional demands enormous energy. We move forward with maximum drive.
  • Automate everything. We scale the capability of our people, not the headcount. We always hunt the 10x multiplier, working alongside AI agents rather than piling on process.
  • Have fun. We work with people we genuinely enjoy. It gets us through the hard stretches and keeps politics out.

What’s in it for you

  • Uncapped growth. In a company moving this fast, scope finds the people who can carry it. Ownership and title are earned in months, not years.
  • Real self-realization. This is a place to become the most capable version of yourself, next to people operating at the top of their game.
  • A direct line to senior product and engineering leaders, and a real say in where the product goes.
  • You share in the outcome. When the company wins big, you win big.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

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Florian Bruhin · World Congress 2021

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Oliver Seitz Oliver Seitz · World Congress 2025

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Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · World Congress 2025

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Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

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Career evolution in data engineering and AI platforms

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