Applied AI Engineer (Web3)

Applied AI Engineer

Full-time/Company: Cryptio

Cryptio is the leading enterprise-grade financial data transformation and digital asset ERP platform for accounting, financial reporting, tokenization compliance, and loan management. The company recently closed a $45M Series B and builds back- and middle-office tooling that turns on-chain and off-chain crypto activity into auditable records for finance and compliance.

Responsibilities:

- Collaborate with the VP on prompt architecture, workflow design, and product roadmap.
- Own full-stack feature delivery from Postgres schema through API layer to 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 workflows.
- Build financial document ingestion: parse spreadsheets and structured reports into typed data models.
- Maintain deterministic pre-processing and heuristic layers to make AI output auditable and reliable.
- Contribute to the AI output evaluation framework: test inputs, expected outputs, and scoring rubrics.

Requirements:

- Production full-stack TypeScript experience (real systems, not side projects).
- Strong Node.js backend skills: REST APIs, middleware auth, async pipelines with batching, retries, timeouts.
- React and TypeScript for complex UI (state management with Zustand, schema validation with Zod).
- Strong Postgres: data modeling for workflow/run schemas, indexing, query troubleshooting.
- Experience designing versioned config and append-only audit-trail schemas for compliance.
- Strong written and verbal communication; able to work cross-functionally with finance, product, and design.
- Comfortable owning a feature end-to-end from schema to UI without handoffs.

Nice to have:

- Hands-on production LLM work with AWS Bedrock, OpenAI, or Anthropic SDKs at real throughput.
- Multi-step prompt workflows: chaining, structured output extraction, confidence thresholds, graceful degradation.
- Experience debugging AI in production and separating prompt vs infrastructure issues.
- Next.js App Router experience for data-dense interfaces.
- Background job infrastructure for AI workflows (BullMQ, pg-boss, or similar).
- Finance/accounting tooling experience (GAAP/IFRS, month-end close, audit processes).
- AWS deployments, Docker, CI/CD pipeline ownership.
- Logging, monitoring and production debugging in distributed systems.

Stack:

TypeScript, Node.js, React, Zustand, Zod, Postgres, OpenAI, AWS Bedrock, Anthropic, Next.js, BullMQ, pg-boss, Docker, AWS, CI/CD

Benefits:

- 25 days paid holiday plus bank holidays.
- One additional day of annual leave each year, up to 30 total days.
- Birthday day off.
- Mental health resources, wellbeing programs, and professional coaching.
- Family-friendly policies.
- Fitness and wellness budget.
- MacBook Pro provided.
- $200 home office setup budget.
- Training and development budget.
- Additional benefits depending on location.

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