Software Engineer, AI Platform

Accountabilities: The Software Engineer, AI Platform will be responsible for designing, developing, and maintaining the backend infrastructure and platform capabilities that support intelligent applications. The role requires strong ownership, technical problem-solving, and close collaboration with engineering and business teams to deliver reliable AI solutions.

Design, build, and maintain backend services, APIs, integrations, and automation workflows that support AI-powered applications.

Develop custom connectors and integrations between internal platforms, services, and external APIs.

Build and operate enterprise knowledge systems, including similarity search solutions, vector databases, and retrieval pipelines supporting RAG and agent-based applications.

Improve the reliability, scalability, and performance of AI automation and workflow systems.

Implement monitoring solutions, including observability, logging, alerting, and business metrics to track system health and optimize performance.

Contribute to platform tooling using traditional software development approaches and workflow automation technologies.

Write clean, maintainable, and production-ready code supported by testing practices and technical documentation.

Support the continuous improvement of AI platform capabilities through experimentation, iteration, and engineering best practices.

Communicate technical solutions clearly with both technical and non-technical stakeholders.

Requirements:

The ideal candidate is a software engineer with experience building production-grade systems and an interest in applying modern AI technologies to real-world applications. You should have strong backend development skills, a collaborative mindset, and the ability to balance rapid innovation with long-term system reliability.

2+ years of professional software engineering experience.

Proficiency in one or more programming languages such as Python, TypeScript, or C#.

Experience designing, developing, and operating production-grade services, integrations, or automation systems.

Solid understanding of modern AI system concepts, including Retrieval-Augmented Generation (RAG), AI agents, and LLM-based tools.

Practical experience with vector databases, similarity search, and retrieval optimization techniques.

Familiarity with APIs, microservices, and event-driven architecture patterns.

Strong understanding of backend testing, observability, scalability, and performance optimization.

Familiarity with low-code/no-code automation platforms or willingness to learn new automation technologies.

Ability to work effectively in a fast-paced, high-ownership environment while maintaining quality and maintainability.

Strong communication skills and the ability to collaborate with both engineering and business teams.

Benefits:

Fully remote work opportunity within Canada.

Opportunity to work on innovative AI-powered technologies and large-scale engineering challenges.

Collaborative environment focused on technical excellence, ownership, and continuous learning.

Exposure to modern AI architectures, including LLM applications, retrieval systems, and intelligent automation.

Professional growth opportunities through challenging projects and cross-functional collaboration.

Competitive compensation and benefits package.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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