Applied AI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Work closely with the VP on prompt architecture, workflow design, and product roadmap, taking a hands-on approach in shaping the development process.

• Take ownership of end-to-end feature delivery, managing everything from the Postgres schema to the API layer and the React user interface.

• Develop and sustain multi-step AI pipelines that include prompt chaining, structured output parsing, confidence scoring, failure recovery, and audit-trail logging.

• Integrate third-party financial data APIs into workflows for production tools.

• Create processes for the ingestion of financial documents, converting uploaded spreadsheets and structured reports into typed data models for subsequent AI processing.

• Maintain and enhance the deterministic pre-processing and heuristic layers to ensure AI-generated outputs are reliable enough for audits.

• Contribute to the framework for evaluating AI outputs, which includes structured test inputs, expected outputs, and scoring rubrics.

• Collaborate across functions with finance practitioners, product teams, design, and leadership to define project scope and provide constructive feedback on specifications that may be lacking.

⛳️ Requirements

• Proven experience in production full-stack TypeScript development: delivered real systems rather than side projects.

• Strong expertise in Node.js backend development, including REST APIs, middleware authentication, asynchronous pipelines with batching, concurrency limits, retries, and timeouts.

• Proficient in React and TypeScript for developing complex user interfaces: managing state with Zustand, validating schemas with Zod, and ensuring views remain responsive at scale.

• Familiarity with distributed systems and microservice architectures: understanding of failure modes (partial writes, retries, ordering, observability) even if you haven't managed a microservice deployment from start to finish.

• Hands-on experience with production-level LLM work using AWS Bedrock, OpenAI, or the Anthropic SDK at significant throughput levels.

• Experience with multi-step prompt workflows, including chaining, structured output extraction, confidence thresholds, and maintaining graceful degradation.

• Proven ability to debug AI issues in production, with a clear understanding of where prompt challenges end and infrastructure problems begin.

• Strong command of Postgres for data modeling related to workflow and run-oriented schemas, indexing strategies, and troubleshooting queries at scale.

• Experience in designing versioned configuration and audit-trail schemas, particularly in compliance contexts where append-only structures are critical.

• Excellent communication skills, both written and verbal, allowing you to convey technical decisions clearly to finance practitioners and product specifications to engineering teams.

• Initiative-driven: you propose alternatives when specifications are flawed and actively address issues without waiting for direction.

• Ability to work cross-functionally without friction, engaging with finance, product, design, and leadership teams, not just fellow engineers.

• Comfortable taking ownership of a feature from schema design to UI implementation without the need for handoffs.

🏝️ Benefits

• Flexible remote or hybrid working options.

• 25 days of paid holiday in addition to bank holidays.

• One extra day of annual leave for each year of service, up to a total of 30 days.

• A day off to celebrate your birthday.

• Access to mental health resources, wellbeing programs, and professional coaching.

• Family-friendly policies to support work-life balance.

• A budget for fitness and wellness initiatives.

• A MacBook Pro provided for your work.

• A $200 budget for setting up your home office.

• A budget allocated for training and development opportunities.