Applied AI Engineer

Описание вакансии

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.

*📩* Откликнуться