Senior Backend Engineer, AI-Driven Data Systems in Toronto

Senior Backend Engineer, AI-Driven Data Systems in Toronto

Toronto Full-Time 70000 - 90000 £ / year (est.) No working from home possible
People.ai Inc.

At a Glance

  • Tasks: Design and build backend services for AI-driven data systems.
  • Company: Innovative company focused on AI-powered insights for enterprise data.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Join a team shaping the future of data-driven decision-making.
  • Qualifications: Experience in backend development and a passion for AI technologies.

The predicted salary is between 70000 - 90000 £ per year.

Backstory is building AI-powered systems to surface insights from enterprise data and help leaders decide what to do next. As a Senior Software Engineer on the Matching team, you will design and build backend services and data pipelines that process massive business data, perform data-driven research, and contribute to an autonomous engineering culture.

You will work across data science tooling, machine learning initiatives, and scalable microservices, delivering robust software with emphasis on.

Senior Backend Engineer, AI-Driven Data Systems in Toronto employer: People.ai Inc.

At Backstory, we pride ourselves on fostering an innovative and collaborative work environment where creativity thrives. As a Senior Backend Engineer, you'll not only contribute to cutting-edge AI-driven projects but also benefit from our commitment to employee growth through continuous learning opportunities and a supportive culture that values autonomy. Located in a vibrant tech hub, we offer competitive benefits and a unique chance to be part of a team that's shaping the future of enterprise data solutions.

People.ai Inc.

Contact Details:

People.ai Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Backend Engineer, AI-Driven Data Systems in Toronto

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at People.ai Inc. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to People.ai Inc..

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like People.ai Inc..

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like People.ai Inc. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior Backend Engineer, AI-Driven Data Systems in Toronto

Backend Development
Data Pipeline Design
Microservices Architecture
AI and Machine Learning
Software Engineering
Data Processing
Scalable Systems

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at People.ai Inc..

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at People.ai Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at People.ai Inc.

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If People.ai Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.