Full Stack Engineer, AI
ABOUT DURABLE:
Our mission at Durable is to make owning a business easier than having a job.
Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It
For You) small business category.
What is DIFY? It is a new category of technology that is faster and more cost
effective than a human, and much easier to use than software. It is an AI first
approach to solving customer problems.
You don't need to learn new software. You don't need to read help docs. You
don't need to learn how to prompt. You provide business context and feedback,
and the work is done for you.
We believe in a world where everyone is a business owner. Whether it's a
full-time, part-time, or side hustle - we want to make it frictionless to start
and operate a business. Since launching in late 2022, over 5 million websites
have been built with our AI powered website builder. We are generating
significant revenue, well-funded by Silicon Valley investors, and growing
extremely fast.
Our vision is much bigger, and we're looking for incredible people to join our
team and make an impact.
WHAT YOU’LL DO:
This role sits at the intersection of product engineering and AI infrastructure.
You’ll build customer-facing features from scratch, while also helping us
integrate and scale the AI systems that power them.
KEY RESPONSIBILITIES:
- Build full-stack, AI based features within our stack (see below).
- Design and implement end-to-end AI workflows and agents applying techniques
like Retrieval Augmented Generation (RAG), Memory, tool calling, reasoning
and other techniques.
- Collaborate with product, design, and AI teams to integrate cutting-edge
model capabilities, shape product direction, and prototype new ideas.
- Stay at the forefront of AI/ML innovation, push the collective knowledge of
the team and turn insights into advantages for customers.
QUALIFICATIONS:
- 2+ years of professional experience building production-grade software
- High fluency with React, NextJS, TypeScript, and engineering best practices
- Strong backend experience scaling apps and services.
- Functional understanding of concepts in applied AI like CoT, RAG, Memory, MCP
and more.
- Bonus: Experience shipping multi-modal LLM workflows or agentic apps to
production.
WHY JOIN US?
At Durable, we’re committed to creating an environment where you can thrive.
Here’s what you can look forward to:
- Vancouver HQ: Based in Vancouver? Our Gastown HQ comes with jaw-dropping
North Shore views. Many teammates come in on Mondays and Thursdays, but WFH
is always an option when you need it.
- Comprehensive Benefits: Health and dental coverage to support your
well-being.
- Home Office Stipend: Receive a stipend to create a comfortable and productive
workspace.
- Professional Development: We support your growth with opportunities like
conferences, courses, and speaking engagements.
- Team Events: Connect with your colleagues through retreats and team-building
activities.
- Equipment: Start strong with a company-provided laptop and the tools you need
to succeed.
- Commitment to engineering excellence: We care deeply about our craft and
build using the most AI-native stack and tools available
LOCATION:
Ideal candidates are based in Vancouver. We may consider those based remotely in
Canada on a case-by-case basis.
COMPENSATION:
Base salary range is $180,000-$225,000 CAD, plus equity. This range is relevant
to candidates located in Vancouver, Canada. Actual compensation will be based on
a combination of factors including location, experience, and skill level.
RECRUITMENT PROCESS:
This is our typical recruitment process. It may vary a bit but generally this is
what you can expect to take place over the span of several weeks. The
behavioural, technical, and group portions are often completed at the same time
at our office.
- Recruiter screen (Online, 15-20mins)
- Hiring Manager screen (Online, 15-20mins)
- Behavioural (On-site, 30mins)
- Technical Interview (On-site, 90mins)
- Group Chat (Online or On-site, 25mins)
- References + Offer
TECH STACK:
Languages: Typescript, SQL, Bash, HTML5, CSS3, Python
Frameworks/Libraries: React, NextJS, React Query, React Native, Expo,
TailwindCSS, RadixUI, DrizzleORM, trpc, NodeJS, Bun, WebRTC, PyTorch
Tooling: Turborepo, ESLint, Prettier, NPM/PNPM, Git, AI codegen
Databases: Postgres (including PGVector and JSON datatype), Object stores
Infrastructure: Docker, Cloudflare (Workers, Durable Objects, Pages, DNS, CDN),
Vercel, Inngest, Render, Trigger.dev, Datadog, Together.ai [http://Together.ai],
LangSmith, Hugging Face, Replicate, Langfuse
AI Engineering: Large Language Models, Multi-Modal Models, Image Generation,
In-painting, Voice Models
AI Concepts (learn over time): Basic Prompting, Chain of Thought prompting,
N-shot prompting, Prompting reasoning models, Tool calling, Preprocessing
unstructured data, ReAct, Agent basics, Advanced agentic patterns, Evals,
Memory, Generative UI, Streaming, Real-time, Multi-agent systems, Guardrails,
Citations, Vector databases, RAG, Text embeddings, Knowledge graphs, Query
routing, Synthetic data, Fine-tuning, RLHF, Diffusion Models, MCP, Computer use,
Using/Serving Multi-modal OSS models
