Artificial Intelligence Engineer

Insight Global

Vancouver

Hybrid

CAD 110,000 - 150,000

Full time

26 hours ago
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Job summary

Insight Global in Vancouver is seeking a Software Engineer, AI & Platform to join our high-growth tech client on a hybrid basis. You will design, build, test, deploy, and maintain features across AI and platform capabilities.

You will collaborate with product, customer success, and implementation teams to resolve questions, address tickets, and deliver new features using LLMs, prompts, AI providers, and model integrations.

Qualifications

  • 5+ years of software engineering experience, ideally as a full-stack or backend engineer.
  • 1 to 2 years of hands-on AI experience, including exposure to LLMs, prompt engineering, AI providers, and LLM-based application development
  • Experience designing, developing, and maintaining scalable backend services for SaaS platforms
  • Strong engineering fundamentals, including algorithms, data structures, system design, and problem-solving
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Solid understanding of SQL and NoSQL database systems
  • Ability to write production-quality code in a modern programming language
  • Strong communication skills and the ability to work cross-functionally with product, customer success, and implementation teams
  • Customer-centric mindset with a strong sense of ownership, accountability, and ability to thrive in a fast-paced startup environment

Responsibilities

  • Collaborate with product, customer success, and implementation teams to resolve customer questions and improve functionality.
  • Build and maintain product features across AI and platform capabilities, with a focus on LLMs and AI provider integrations.
  • Address support tickets, resolve issues, and drive time-to-value for customers.
  • Balance new feature development with product maintenance and customer-driven improvements.

Skills

5+ years software engineering
AI experience 1-2 years
SaaS backend design
Algorithms & data structures
Cloud platforms AWS/Azure/GCP
SQL & NoSQL
Production-quality code
Cross-functional collaboration
Ownership & accountability

Tools

Node.js
MongoDB
AWS
Google Cloud
Azure

Job description

Insight Global is looking for a Software Engineer, AI & Platform to join one of our high-growth technology clients on a hybrid basis in Vancouver. This person will operate as a mid-level software engineer focused on designing, building, testing, deploying, and maintaining product features across the company’s AI and platform capabilities.

Day to day, this engineer will work closely with product, customer success, and implementation teams to resolve customer questions, address support tickets, improve existing functionality, and build new product features that drive customer value. A large portion of the role will involve working with LLMs, writing and evaluating prompts, understanding model outputs, integrating with AI providers, and helping determine which models are best suited for different product use cases.

This engineer will also help identify and solve system-level challenges that impact time to value for customers. The company already has a live product and an active customer base, so this role will balance new feature development with ongoing product maintenance, bug resolution, and customer-driven improvements.

Must Haves
  • 5+ years of software engineering experience, ideally as a full-stack or backend engineer
  • 1 to 2 years of hands-on AI experience, including exposure to LLMs, prompt engineering, AI providers, and LLM-based application development
  • Experience designing, developing, and maintaining scalable backend services for SaaS platforms
  • Strong engineering fundamentals, including algorithms, data structures, system design, and problem-solving
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Solid understanding of SQL and NoSQL database systems
  • Ability to write production-quality code in a modern programming language
  • Strong communication skills and the ability to work cross-functionally with product, customer success, and implementation teams
  • Customer-centric mindset with a strong sense of ownership, accountability, and ability to thrive in a fast-paced startup environment
Plusses
  • Experience with Node.js, MongoDB, AWS platforms, and AWS services
  • Previous experience in a SaaS startup environment
  • Experience working at a large or well-known technology company
  • Experience working with or integrating into modern sales technology stacks, including CRMs or sales engagement platforms
  • Experience partnering closely with customer success or implementation teams to resolve customer issues and improve product outcomes
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