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Generative Ai Developer Jobs in British Columbia

The role The Senior AI Developer will play a key role in building and delivering applied Generative AI (Gen AI) capabilities within Seequent Evo, our geoscience data platform. The Senior AI Developer ...

Generative AI & LLM Architecture * Architect and deliver production LLM-powered capabilities ... Own prompt engineering strategy: design versioned, testable prompt pipelines; establish team ...

You will leverage deep expertise in machine learning systems, generative AI, MLOps, and platform ... Define the enterprise AI/ML engineering vision and implementation strategy spanning the enterprise ...

As a Software Developer with the AI Accelerator (AIA), your ability to design and build full-stack ... generative AI and machine learning tools for TELUS * Evaluate and compare different technical ...

As a Software Developer with the AI Accelerator (AIA), your ability to design and build full-stack ... generative AI and machine learning tools for TELUS * Evaluate and compare different technical ...

AI Application Developer

Burnaby, BC · On-site

CA$107K - CA$179K/yr

AI/ML Experience: 2-3 years of experience building machine learning, natural language processing (NLP), or generative AI-driven applications. * Programming Proficiency: Strong proficiency in Python ...

AI Application Developer

Burnaby, BC · On-site

CA$107K - CA$179K/yr

AI/ML Experience: 2-3 years of experience building machine learning, natural language processing (NLP), or generative AI-driven applications. * Programming Proficiency: Strong proficiency in Python ...

Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...

Principal AI/ML Scientist

Vancouver, BC · On-site

$208.58 - $273.77/hr

Defining next‑generation models and architectures for generative AI, multimodal systems, and ... Bachelor's degree in computer science, data science, engineering, or related technical field, or ...

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Generative Ai Developer information

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in British Columbia? For Generative Ai Developer jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in British Columbia look for? The top searched job categories for Generative Ai Developer jobs in British Columbia are:
Infographic showing various Generative Ai Developer job openings in British Columbia as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Senior AI Developer

Seequent

Vancouver, BC • On-site

Full-time

Re-posted 9 days ago


Job description

The role

 

The Senior AI Developer will play a key role in building and delivering applied Generative AI (Gen AI) capabilities within Seequent Evo, our geoscience data platform. The Senior AI Developer will turn prototypes into deployed, scalable product features that help customers understand semantic meaning in their data, automate workflows and interact with AI agents. This position offers the opportunity to influence how Gen AI is integrated in Seequent products and to grow into leadership responsibilities as the team expands.

In this role you will have the opportunity to

 

  • Collaborate with global teams and influence stakeholders to build sustainable, applied AI solutions for real-world geoscience workflows.
  • Take ownership of turning innovative prototypes into deployed, operational features on Seequent's cloud infrastructure.
  • Build and maintain robust evaluation systems to iteratively improve prompts, context strategies, agent workflows, and overall product performance.
  • Act as a subject-matter expert in AI/ML design discussions, ensuring all customer data is secure, used with consent, and processed ethically.
  • Continuously expand your knowledge in geosciences and AI/ML, with clear opportunities to grow into leadership roles and guide future AI initiatives.

Essential Knowledge, Skill and experience

 

  • Hold a Bachelor's degree in a relevant field, with 7+ years in software engineering/DevOps and 1+ years of experience building and operating production-level Generative AI products.
  • Possess commercial software development experience with Python, cloud platforms (Google Cloud preferred), and building production systems using Infrastructure as Code (Terraform preferred).
  • Have proven experience designing, building, and deploying Gen AI applications, including creating evaluation and observability systems (logging, tracing, metrics).
  • Operate with a "production-first" mindset, demonstrating a passion for turning prototypes into stable, well-documented production systems and owning features end-to-end.
  • Exhibit strong interpersonal skills for global team collaboration, a tenacious and curious approach to problem-solving, and a clear interest in taking on future leadership and strategic responsibilities.

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