Come join our Engineering team!

High velocity, high intensity, high trust, high bar, high impact, and a will to win.

At FutureFit AI, our core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity. Our work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work. Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.

Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it's 10/10. You'll build the product that helps people get to better jobs faster and cheaper, with a focus on those facing the biggest barriers to opportunity. As a full-stack engineer here, you'll own features end to end, from design through to production, and you'll have real influence over how we build, not just what. We're hiring across the mid to senior range. If you're senior, you'll set technical direction, raise the bar on quality, and lift the engineers around you.

Design, build, test, and ship full-stack features across the frontend and backend, owning your work all the way to production.

Work closely with Product, Design, and Data to turn customer needs into well-built, reliable software.

Code quality:

Write clean, maintainable, well-tested code, and help hold the team to a high bar through reviews and shared standards.

Technical judgment:

Make sound technical decisions in your work and weigh tradeoffs as you build. At the senior end, this scales up to system design for larger initiatives, architectural calls, and mentoring other engineers.

You'll be shipping early and owning more as you go. Get oriented and ship

Get your environment set up and ship your first change to production in the first week: a real fix or small improvement, not a throwaway task

Build relationships across Engineering, Product, Design, and Data, and learn how work moves from idea to production here

Get to know the codebase and our stack (React/TypeScript, Node.js, PostgreSQL/MongoDB,



AWS), and where the rough edges are

Take a feature from design through to production on your own, owning quality the whole way

Develop real judgment about our patterns and tradeoffs, and bring that into planning and technical discussions

Partner closely with Product and Design to turn customer needs into reliable, well‑built software

Deliver a meaningful piece of product that customers actually feel

Have a clear point of view on where we can move faster or raise the bar on quality

(At the senior end) take on system design for a larger initiative, make sound architectural calls, and lift the engineers around you

Strong full‑stack experience building and shipping production web applications (roughly 3+ years for mid‑level, 6+ for senior)

Deep fluency in TypeScript across the stack, owning both frontend and backend

Solid fundamentals in data modeling, API design, and deploying to the cloud

A bias to ship: you break work into deliverable pieces and move it to done without hand‑holding

Bonus Points

Experience at an early‑stage or fast‑scaling startup where you wore several hats

Exposure to data‑intensive products, recommendation/matching systems, or AI/ML‑backed features

Our Tech Stack for Engineering

Frontend:

React, TypeScript

Node.js, TypeScript

Data storage:

PostgreSQL, MongoDB

AWS ecosystem

CA/US Remote] We are open to candidates living anywhere in Canada or the US. For candidates living in Toronto, our office is conveniently located at 325 Front St West (a short walk from Union Station). Travel Expectations

Although this role is remote, you may be expected to travel up to once per quarter for offsites and team gatherings.





The base salary range for this role is USD $150,000 - $185,000 for candidates based in New York, spanning the mid to senior level and benchmarked to the middle of the market for comparable venture‑backed companies. At FutureFit AI, our hiring process is designed to help you assess whether this role and our culture are the right fit based on your unique skills, mindset, and experiences. Each journey includes a mix of interviews and a performance challenge. Online Application

At FutureFit AI, we're not just building a company—we're transforming how talent and opportunity connect. 30‑50 across US and Canada (hubs in NYC and Toronto)

Customers:

Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & Operations

Use of AI in Hiring

At FutureFit, we use artificial intelligence (AI) tools to make our hiring process more efficient, consistent, and equitable—never to replace human judgment. We use AI in the following ways:

AI may help us compare applications against the skills and experience required for a specific role. These skills are defined by the hiring team for each position. A human reviews each application, with the AI assessment as just one input.

In some interviews, we may use an AI notetaker to summarize the discussion so interviewers can focus on being present in the conversation.

AI provides data points to support our team’s evaluation but does not make or recommend final hiring decisions. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. FutureFit AI All rights reserved, we are proud to be an equal prospect workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics.

📌 Software Engineer - Machine Learning (Remote) (Toronto)
🏢 FutureFit
📍 Toronto