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Senior Software Engineer - Applied AI

  • Remote, Canada

Remote

$120,000 to $170,000 CAD / year · Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
$120,000 to $170,000 CAD / year
Job type
Full-time
Workplace
Remote
Experience
3–6+ years of experience building full stack applications
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

About Feathery

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.

Why We’re Hiring

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.

About the Role

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

  • 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.

What You’ll Do

AI Product Development

  • 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

Backend Systems & AI Infrastructure

  • 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

Frontend Experience

  • 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

Cross-Functional Collaboration

  • 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

About You

  • 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

Bonus

  • 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

What We Offer

  • Competitive compensation and equity

  • Health, dental, and vision coverage

  • Unlimited PTO

  • Downtown Toronto office location

  • Office snacks and lunches

  • A supportive, low-ego team that values ownership and growth

  • Company offsite to connect and recharge

If you’re excited about building AI product experiences that power critical workflows - and want to have a meaningful impact at a fast-growing startup - we’d love to meet you.

Feathery is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic. We’re committed to building an inclusive team and provide reasonable accommodations upon request.

More about this job

Responsibilities

You will build end-to-end AI-powered product features, ranging from backend LLM orchestration services to interactive frontend interfaces. Additionally, you will collaborate with product and design teams to define roadmaps and ensure system reliability for data-intensive workflows.

Requirements

The role requires 3–6+ years of full-stack development experience with strong proficiency in TypeScript, React, and backend frameworks like Node.js or Python. Candidates should have a genuine interest in AI/LLM technology and experience with cloud infrastructure, preferably AWS.

Skills

  • TypeScript
  • JavaScript
  • React
  • Node.js
  • Express
  • Python
  • Django
  • AWS
  • LLM APIs
  • Prompt engineering
  • API design
  • Streaming APIs
  • Cloud infrastructure
  • Document processing
  • System architecture

Benefits

  • Competitive compensation
  • Equity
  • Health coverage
  • Dental coverage
  • Vision coverage
  • Unlimited PTO
  • Office snacks and lunches
  • Company offsite

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Engineering
  • Data & Analytics
  • Finance & Accounting

Keywords

  • Full Stack Engineer
  • AI Product
  • TypeScript
  • JavaScript
  • React
  • Node.js
  • Express
  • Python
  • Django
  • AWS
  • LLM
  • Claude
  • GPT
  • Streaming APIs
  • SSE
  • WebSockets
  • OCR
  • Data extraction
  • Cloud infrastructure
  • Lambda
  • SQS
  • S3
  • Textract
  • B2B SaaS
  • Financial services
  • Agent architecture
  • Prompt engineering
  • API design
  • System reliability
  • Full stack

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