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ShyftLabs

Software Developer

Toronto, Ontario, Canada

Location
Toronto, Ontario, Canada
Work
Hybrid
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
CA$70K – CA$110K a year
Posted
5 months ago

About the role

Position Overview

We at ShyftLabs are seeking a highly motivated and curious Software Developer to join our growing engineering team. This role is ideal for young professionals who are excited to learn, eager to build, and passionate about working on real-world challenges in a fast-paced, agile environment. The successful candidate will be highly technical, with a knack for solving complex problems, and a high level of curiosity.

At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We’re growing fast and we’re looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.

Job Responsibilities

Design, develop, test, and maintain scalable full-stack applications, APIs, and cloud-based services

Build and enhance AI-powered features using LLMs, AI agents, vector databases, and related technologies to improve user experiences and business workflows

Collaborate with developers, architects, and product teams to deliver high-quality solutions aligned with technical and business objectives

Participate in solution design, technical planning, estimation, and feature implementation throughout the software development lifecycle

Write clean, secure, and maintainable code while following engineering best practices, testing standards, and code review processes

Leverage AI-assisted development tools to improve productivity, code quality, documentation, and development workflows

Contribute to system architecture, technical documentation, and continuous improvement of development processes and platform capabilities

Work within Agile teams, participating in sprint planning, stand-ups, retrospectives, and cross-functional collaboration with Design, QA, and Product teams

Research and evaluate emerging technologies, AI frameworks, and industry trends to drive innovation and continuous product improvement

Qualifications

2-5 years of professional software development experience

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Proficiency in Python, TypeScript/JavaScript, Java, Go, or similar modern programming languages

Experience building full-stack applications using modern frontend frameworks (React, Next.js, Angular, etc.) and backend APIs/services

Familiarity with cloud platforms (AWS, Azure, or GCP), databases (SQL/NoSQL), Git, CI/CD, and Agile development practices

Experience using AI-powered development tools (GitHub Copilot, Cursor, ChatGPT, Claude, etc.) and integrating LLM or AI APIs into applications

Strong problem-solving, communication, and collaboration skills, with a focus on writing clean, maintainable code

Passion for learning new technologies and staying current with modern software engineering and AI trends

Why You’ll Love Working at ShyftLabs

Hybrid Flexibility: 3 days per week in our downtown Toronto office.

Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.

Growth & Learning: Continuous learning opportunities and influence over technical direction.

Inclusion at ShyftLabs

We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.

Source

Posted by ShyftLabs on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 01:33 UTC; the original is the reference.

View the original ad ↗

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