Senior Web Developer

StartupFuel; Toronto; Hybrid; CAD 150,000 - 200,000; Full time

Job summary

A leading company in AI-powered startup due diligence is hiring a Senior Web Developer for their Toronto team. In this full-time hybrid position, you'll design, build, and maintain scalable applications that shape the future of investment decision-making. Ideal candidates should have strong full-stack and backend skills with a proven track record in high-performance environments.

Benefits

Competitive compensation and early-stage equity

Flexibility for remote work

Collaboration with a high-performance team

Qualifications

• 5+ years of full-stack web development experience.
• Strong back-end development experience (Node.js, Express, MongoDB).
• Experience deploying on AWS or GCP.

Responsibilities

• Architect and implement end-to-end web applications using the MERN stack.
• Collaborate with design and AI / ML teams for new features.
• Optimize application performance and maintain secure integrations.

Skills

Backend Development

Problem-Solving

Debugging

Communication

Education

Bachelor's degree in Computer Science

Job description

Direct message the job poster from StartupFuel

About Us (www.startupfuel.com)

StartupFuel is the company behind DiligenceGPT , the global standard in AI-powered startup due diligence for private markets. Trusted by investors, accelerators, and governments, we’re transforming how capital is deployed with over 30 years of research, data, and expert insights built into our platform. Our mission is to reduce risk and improve transparency in private markets using intelligent, automated, and scalable due diligence workflows.

We're growing quickly and seeking passionate builders to help scale the future of investment decision-making.

Role Overview

We’re hiring a Senior Web Developer to join our core product team. This is a full-time hybrid role based in Toronto, ON , with flexibility for remote work. You'll play a critical role in designing, building, and maintaining scalable web applications, both frontend and backend, that power the DiligenceGPT ecosystem.

You'll be working directly with our product and AI teams to build enterprise-grade tools for investors, fund managers, and analysts around the world.

Key Responsibilities

• Architect and implement end-to-end web applications using the MERN stack (Mongo, Express, React, Node.js)
• Collaborate with design, AI / ML, and product teams to bring new features and tools to life
• Optimize application performance, scalability, and reliability
• Maintain and enhance secure integrations with AWS, GCP, and external APIs
• Own code quality through peer reviews, automated testing, and CI / CD best practices
• Troubleshoot, debug, and resolve technical issues quickly and efficiently
• Help shape technical architecture and contribute to strategic product decisions

What You Bring

• 5+ years of experience in full-stack web development
• Strong back-end development experience (Node.js, Express, MongoDB)
• Experience deploying and scaling on AWS or GCP
• Comfort with APIs, microservices, and database architecture
• Excellent debugging, problem-solving, and communication skills
• Bachelor's degree in Computer Science, Engineering, or a related field
• Bonus : Experience in startups or fast-paced product environments

Nice to Have (Bonus Stack) :

• Experience with LlamaIndex , OpenAI APIs , or vector databases like Pinecone
• Familiarity with Julia or other scientific computing languages
• Exposure to AI, LLMs, or intelligent data pipelines

Why Join Us

• Shape the future of AI in private capital markets
• Collaborate with a mission-driven, high-performance team
• Competitive compensation and early-stage equity
• Work on a product with global traction and real-world impact
• Hybrid flexibility with in-person collaboration when it matters most

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Venture Capital and Private Equity Principals

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