Applied AI Engineer

🕒 May 20

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Cryptio

WebsiteLinkedInAll Job Openings

11 - 50 employees

₿ Crypto

💸 Finance

💳 Fintech

💰 $10M Series A on 2022-06

Crypto • Finance • Fintech

Cryptio is a company providing enterprise-grade accounting, audit, and tax software solutions for digital assets. Their platform is designed to ensure completeness and accuracy of crypto data, transforming digital asset activities into auditable financial statements. Cryptio offers solutions for a variety of use cases including banks, exchanges, DeFi enterprises, stablecoins, NFT marketplaces, and more, enabling users to reconcile on-chain activities with internal systems. They provide GAAP and IFRS compliant reporting, automated accounting processes, and integrate with popular accounting software such as Xero, QuickBooks, and Netsuite. Cryptio is SOC 1 and SOC 2 certified, ensuring high standards of data security and compliance with major privacy regulations.

📋 Description

• Collaborate directly with the VP on prompt architecture, workflow design, and product roadmap. You’re a builder who shapes what gets built. • Own full-stack feature delivery from Postgres schema through API layer through React UI • Build and maintain multi-step AI pipelines: prompt chaining, structured output parsing, confidence scoring, failure recovery, and audit-trail logging • Integrate third-party financial data APIs into production tool workflows • Build financial document ingestion: parse uploaded spreadsheets and structured reports into typed data models for downstream AI processing • Maintain and extend the deterministic pre-processing and heuristic layers that make AI output reliable enough for audit • Contribute to the AI output evaluation framework: structured test inputs, expected outputs, scoring rubrics • Work cross-functionally with finance practitioners, product, design, and leadership to scope what gets built and push back on specs that miss

🎯 Requirements

• Production full-stack TypeScript: shipped real systems, not side projects • Strong Node.js backend: REST APIs, middleware auth, async pipelines with batching, concurrency limits, retries, timeouts • React and TypeScript for complex UI: state management with Zustand, schema validation with Zod, views that stay responsive at scale • Exposure to distributed systems and microservice architectures: you understand the failure modes (partial writes, retries, ordering, observability) even if you haven’t owned a microservice deployment end-to-end • Hands-on production LLM work with AWS Bedrock, OpenAI, or the Anthropic SDK at real throughput • Multi-step prompt workflows: chaining, structured output extraction, confidence thresholds, graceful degradation • You’ve debugged AI in production. You know where prompt issues end and infrastructure issues begin • Strong Postgres: data modeling for workflow and run-oriented schemas, indexing strategy, query troubleshooting at table scale • Experience designing versioned config and audit-trail schemas. Append-only matters in compliance contexts and you’ve built for it. • Strong communicator, written and verbal. You can explain a technical decision to a finance practitioner and a product spec back to engineering. • You take initiative. When the spec is wrong, you propose alternatives. When something’s broken, you don’t wait to be asked. • You work cross-functionally without friction. Finance, product, design, leadership are all on your week, not just other engineers. • Comfortable owning a feature from schema to UI without handoffs

🏖️ Benefits

• 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 birthday 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