6 months ago
Toronto, CanadaMid Level / Senior
Responsibilities
- Build end-to-end AI-powered product features across backend services and frontend interfaces.
- Design and implement LLM agent systems with tool use, planning, and multi-step execution.
- Develop streaming APIs and real-time conversational interfaces.
- Build and scale TypeScript and Python services for AI orchestration and document processing.
- Develop asynchronous pipelines using AWS Lambda, SQS, S3, and Textract.
- Design APIs and data models connecting AI capabilities to the core platform.
- Build responsive React and TypeScript UIs and contribute to frontend architecture and state management.
- Own features from concept through production and collaborate with product, design, and platform teams on AI roadmaps and architecture.
Requirements
- 3–6+ years of experience building full-stack applications.
- Strong TypeScript/JavaScript proficiency with React experience.
- Backend experience with Node.js/Express, Python/Django, or similar technologies.
- Genuine interest in AI/LLM technology and building AI-powered products.
- Experience designing APIs, including streaming and event-driven patterns.
- Familiarity with AWS or cloud infrastructure.
- Ability to ship iteratively in a fast-paced, high-growth startup.
- Strong communication and collaboration skills.
- Preferred experience includes LLM APIs, tool use, prompt engineering, agent architectures, document processing, OCR, streaming protocols, real-time UIs, multi-model orchestration, AI pipelines, high-throughput and low-latency optimization, and financial services or regulated-industry experience.
Benefits
- Competitive compensation and equity.
- Health, dental, and vision coverage.
- Unlimited paid time off.
- Downtown Toronto office location.
- Office snacks and lunches.
- Supportive, low-ego team focused on ownership and growth.
- Company offsite.
Tech Stack
Categories
About Feathery
Feathery builds an agentic data intake platform for financial institutions, automating onboarding, underwriting, risk assessment, and account opening while syncing client data across CRMs, custodians, policy systems, and internal apps. It sells a SaaS platform to insurance and wealth management firms to replace manual processes with workflow automation and standardized integrations. Founded in 2021 and headquartered in San Francisco, the company is privately held.