Applied AI Engineer

 Posted a month ago
  
 Canada
  
2-5 years experience
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AI Summary

Build and own full-stack AI features, including multi-step pipelines, financial document ingestion, and output evaluation frameworks. Develop backend infrastructure and API layers to transform crypto activity into auditable financial records.

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 this role actually is

It's a two-person engineering function: you, one other engineer, and the VP of Advisory Intelligence. You'll own complete vertical slices of the toolkit from PostgreSQL schema through API layer through React UI, shipping into production systems that clients use in live audit engagements.

The role is full stack, but 70-80% of your time will be spent building out backend infrastructure - so you should be strong in this area.

The catch (worth being honest about) is that low structure comes with the territory. No large team to bounce ideas off, no process that catches mistakes before they reach clients. What you get instead is real product influence, genuine autonomy, and work that's harder and more interesting than most AI engineering roles.

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

Stack: TypeScript, Node.js, Next.js App Router, React, PostgreSQL, AWS Bedrock / OpenAI / Anthropic SDK, Zustand, Zod.

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.

The interview process

  1. Talent Screen - 30 min

  2. Hiring Manager Interview - 45 min

  3. Live technical case - 60 min

  4. Final culture interview - 45 min

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

If this sounds like you, we would love to hear from you 🙌

At Cryptio, we move fast and take ownership of outcomes. We learn from failures, celebrate wins, and let humility, curiosity, and a passion for crypto guide how we work. If you value collaboration and want to build with purpose, you’ll feel right at home here.

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