Applied AI Engineer
Cryptio
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Description
About Cryptio
Cryptio is the leading **enterprise-grade financial data transformation and digital asset ERP platform** for accounting, financial reporting, tokenization compliance, and loan management solutions. It is a complete back and middle-office platform that delivers financial integrity and accountability for businesses in crypto. Its platform allows users to transform on-chain and off-chain crypto activity into auditable records for accounting, treasury, tax filings, license applications, loans activity, and regulatory reporting. Having recently announced our **$45m series B**, now couldn't be a better time to join!
What you'd be building
- •Multi-step AI pipelines: prompt chaining, structured output parsing, confidence scoring, failure recovery, and audit-trail logging
- •Full-stack feature delivery from schema to UI. You own the whole thing
- •Financial document ingestion pipelines: parse spreadsheets and ERP exports into typed data models for downstream AI processing
- •Background job infrastructure for long-running AI workflows
- •An AI output evaluation framework: structured test inputs, expected outputs, scoring rubrics
Perks
- •👩💻 Remote or Hybrid working
- •🏝️ 25 days paid holiday plus bank holidays
- •🙌 One additional day of annual leave each year, up to 30 total days
- •🎂 Your birth off
- •🧘 Mental health resources, wellbeing programs, and professional coaching
- •🫶 Family-friendly policies
- •💪 Fitness and wellness budget
- •💻 MacBook Pro
- •🖥️ $200 home office setup budget
- •🎓 Training and development budget
*** we have additional benefits depending on location
Requirements
Who you are
- •You've shipped production full-stack TypeScript systems (not side projects) and integrated LLMs in production.
- •You know the difference between a prompt issue and an infrastructure issue because you've debugged both.
- •You understand PostgreSQL at a level where data modelling and indexing strategy feel natural, and you know why append-only matters in a compliance context.
- •You care about correctness. The outputs here go into audit engagements for large financial institutions. Being wrong has real consequences, and that should motivate you rather than put you off.
- •You push back on specs when the approach is wrong, and you're comfortable working async without needing a lot of external structure.
- •A background in finance or accounting tooling is a genuine bonus, but not required.