Senior Software Engineer - Applied AI
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Experience
- 3–6+ years of experience building full stack applications
- Posting language
- English
- Posted
Original job description
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:
What You’ll Do
AI Product Development
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.
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
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
- 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
- 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
- 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
- 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
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.
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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. You will also collaborate with product and design teams to define roadmaps and ensure system reliability for mission-critical 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
- Cloud infrastructure
- Streaming APIs
- 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
- Software Engineer
- Applied AI
- Full Stack
- TypeScript
- React
- Node.js
- Python
- Django
- AWS
- LLM
- Claude
- GPT
- Streaming APIs
- SSE
- Lambda
- SQS
- S3
- Textract
- OCR
- Data extraction
- Agent architectures
- Prompt engineering
- B2B SaaS
- Financial services
- Cloud infrastructure
- System architecture
- API design
- Event-driven patterns
- WebSockets
- Data modeling