Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.
About the role
- Applied AI Engineer developing financial data transformation tools for crypto accounting platform at Cryptio. Collaborate with the VP on AI innovations and full-stack delivery.
Responsibilities
- 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
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