Full Stack Engineer - AI Product

Feathery•Toronto, ON

89d•Onsite

About The Position

Feathery automates data intake workflows for insurance and wealth management firms. Industry leaders rely on Feathery to power mission-critical workflows like underwriting, client onboarding, and automated account openings. With rapid revenue growth and expanding enterprise demand, we’re scaling our engineering team to support increasingly complex, data-intensive workflows across our platform. Feathery is building an AI-native product experience — from a conversational workflow builder that creates complex forms and logic on behalf of users, to intelligent document extraction and multi-LLM orchestration. As our AI capabilities become central to the product, we're hiring a Full Stack Engineer to join the AI team and build these features end-to-end — from designing LLM-powered services and streaming APIs to crafting the interactive UI that brings them to life. This is a high-ownership role on the AI team which blends working across the full stack to ship AI-powered product features, building systems that orchestrate LLM agents, process documents, and generate workflows, owning the frontend experiences that make them intuitive, and working across TypeScript services, Python APIs, React interfaces, and cloud infrastructure. You’ll zoom out to understand system architecture and zoom in to deliver polished, end-to-end product experiences.

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
Genuine interest in AI/LLM technology and building AI-powered products
API design experience, including streaming and event-driven patterns
AWS or cloud infrastructure familiarity
Comfort shipping iteratively in a fast-paced, high-growth startup
Strong communication and collaboration skills

Nice To Haves

Hands-on experience building with LLM APIs (Claude, GPT, etc.) — tool use, prompt engineering, or agent architectures
Document processing, OCR, or data extraction experience
Experience with streaming protocols (SSE, WebSockets) and real-time UIs
Familiarity with multi-model orchestration or AI pipeline design
High throughput and low latency optimization background
Financial services or regulated industry experience
High-growth B2B SaaS company background

Responsibilities

Build end-to-end AI features from backend services through to frontend UI
Design and implement LLM agent systems including tool use, planning, and multi-step execution
Develop streaming APIs (SSE) that power real-time conversational interfaces
Own features from concept through production, iterating based on user feedback
Build and scale TypeScript and Python services for AI orchestration and document processing
Work with multiple LLM providers (Claude, GPT, etc.) and optimize for cost, latency, and quality
Develop asynchronous pipelines using AWS services (Lambda, SQS, S3, Textract)
Design APIs and data models that connect AI capabilities to the core platform
Build responsive, interactive UIs using React and TypeScript
Implement real-time streaming interfaces for conversational AI features
Collaborate with design to create polished, accessible experiences
Contribute to frontend architecture and state management patterns
Partner with product and design to define AI feature roadmaps
Integrate with the core platform team on APIs, data models, and SDK surfaces
Contribute to architectural decisions around agent design, prompt engineering, and system reliability
Translate customer workflows into AI-powered solutions