Applied AI Engineer

Stack

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

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. 📩 Apply

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.