Senior Full Stack Engineer, AI

Description

About Big Viking Games

Big Viking Games is a Canadian gaming company focused on building operating and growing long-standing online game communities. Our games have entertained players for years supported by loyal audiences live operations evolving content systems product innovation and deep player-driven economies.

Our flagship titles YoWorld and FishWorld have served millions of players over their lifetime. These are enduring live-service virtual worlds with rich in-game economies virtual goods social interaction and long-term player engagement at their core.

We are entering a new phase of modernization and growth with a focus on practical AI adoption stronger internal tooling faster content production better workflow automation and scalable systems that help our games and teams perform at a higher level.

About the Role

Big Viking Games is hiring a Senior Full Stack Engineer to build AI-enabled products workflows tools and systems that help turn creative direction into production-ready game content at scale.

This is a hands-on product engineering role for someone who can own a vertical end to end from the data model and backend services to APIs orchestration logic human review workflows and the user interface the team operates from.

You will not be working on a small slice of someone elses codebase. You will be expected to take ambiguous goals turn them into clear technical plans build practical systems and own the quality of the result.

This role is ideal for someone who is fluent in modern full stack development understands how to work with AI coding tools and generative AI systems and has the judgment to know where automation helps where human review is required and where quality cannot be compromised.

This is a hybrid role based in Toronto with an expectation of working in office three days per week.

What Youll Build

You will build internal AI-enabled products tools systems and workflows that help our teams create review approve manage and ship game content more efficiently.

This may include:

Tools that turn creative direction into structured production workflows.

AI-assisted content generation systems with human review and approval gates.

Internal products that help designers artists product managers and live operations teams produce and manage content.

Data models APIs queues orchestration layers and UI surfaces that support repeatable workflows.

Agentic workflows that break complex production tasks into reliable reviewable steps.

Systems that track inputs generated outputs approvals revisions quality checks and production readiness.

Workflow automation that reduces manual work while keeping creative and quality standards high.

You will own the quality of what the system produces not just the plumbing that moves data around.

What Youll Do

Design build test and maintain full stack applications that support AI-enabled game production workflows.

Own features end to end including data modeling backend logic API design frontend implementation deployment and ongoing improvement.

Build structured generation workflows that produce reliable reviewable outputs from AI models.

Create human-in-the-loop review systems so teams can steer approve reject edit and improve generated content.

Translate ambiguous creative or operational goals into clear specifications scoped plans and production-ready systems.

Build internal tools that improve speed consistency visibility and quality across content production workflows.

Partner with engineering product design art live operations and leadership to understand workflow pain points and build practical solutions.

Implement approval steps audit trails retries staged processing idempotency and other patterns required for reliable production systems.

Use AI coding agents and assistants as part of your daily workflow while maintaining strong engineering judgment and code quality.

Review generated code model outputs workflow logic and product behavior with a high bar for accuracy and usability.

Improve system reliability observability documentation maintainability and developer experience.

Contribute to a practical AI-first engineering culture focused on speed quality and measurable business impact.

Requirements

What You Bring

Several years of experience shipping production full stack web applications.

Strong TypeScript and experience.

Production experience with React or similar modern frontend frameworks.

Strong SQL and Postgres experience including schema design query performance data integrity and relational modeling.

Experience owning features or products end to end not just working on one layer of the stack.

Strong product and engineering judgment with the ability to identify when output is wrong incomplete fragile or subtly off.

Experience turning ambiguous goals into clear specs technical plans and deliverable milestones.

Comfort working with content-generation systems data pipelines workflow orchestration staged processing approval flows or similar production systems.

Strong understanding of APIs backend services frontend product surfaces data models and system boundaries.

Disciplined git pull request review testing and deployment practices.

Ability to work independently make sound technical decisions and own a complete area without heavy hand-holding.

Strong communication skills with both technical and non-technical stakeholders.

A practical mindset high ownership and the ability to move quickly without dropping the quality bar.

AI and Agentic Workflow Experience

We are looking for someone who is not just curious about AI but already understands how to use it productively.

You should be able to demonstrate:

AI coding agents and AI-assisted development workflows.

Generative AI systems that produce structured reviewable outputs.

Prompting spec-writing workflow design and model output review.

Building systems where AI accelerates work but humans remain in control of quality.

Evaluating generated outputs for correctness consistency usability and production readiness.

Designing guardrails review gates retries approval flows and escalation paths.

Understanding where AI can safely automate work and where human judgment is still required.

Nice to Have

Experience shipping generative AI or agentic AI features in production.

Experience with structured generation prompt engineering evals guardrails tool use or agent orchestration.

Experience with LangChain LlamaIndex Vercel AI SDK OpenAI Anthropic Gemini or similar AI development tools and APIs.

Experience with queues workers background jobs event-driven systems or orchestration frameworks.

Experience building internal tools for creative production game operations content pipelines or media workflows.

Experience with art animation Flash Animate asset pipelines or other creative tooling.

Experience working with designers artists product managers or live operations teams.

Experience in gaming live-service products virtual worlds social games or free-to-play environments.

High visual judgment and the ability to push generated content toward better quality consistency and production value.

Ideal Candidate Profile

The ideal candidate is a senior product-minded engineer who can build real systems from unclear starting points. They can think through the product experience the data model the workflow the API the user interface and the quality controls required to make the system useful in production.

They are not simply using AI to write code faster. They understand how to direct AI review its output design better workflows around it and turn AI-assisted processes into reliable products that teams can actually use.

They are comfortable moving fast but they do not confuse speed with sloppiness. They care about clean architecture strong product judgment maintainable code reliable workflows and high-quality output.

This role is best suited for someone who wants ownership of a meaningful AI product area inside a live-service gaming company and is excited by the opportunity to help shape how game content tools and workflows are built in the future.

Benefits

Compensation

The expected base salary range for this role is CAD $100000 to $150000 depending on experience technical depth AI workflow experience and overall fit.

Candidates with strong full stack engineering experience production AI or agentic workflow experience and the ability to own systems end to end will be considered at the higher end of the range.

Benefits

Group Retirement Savings Plan matching and participation.

Comprehensive benefits package including health dental and vision coverage.

Health and Wellness spending account.

Generous time off policies.

Opportunity to build AI-enabled products and workflows with real business impact.

Exposure to live-service games content production game operations and internal platform development.

A high-ownership role with meaningful influence over how AI is adopted across the company.

Accessibility and Accommodation

Big Viking Games is committed to creating an inclusive and accessible environment for all candidates. We welcome applications from individuals of all abilities and will provide accommodations throughout the hiring process as needed.

If you require accommodation during the hiring process please contact so we can work with you to support your needs.

Required Experience:

Senior IC

Employment Type : Full Time
Department / Functional Area: Engineering
Experience: years
Vacancy: 1
Monthly Salary Salary: 100000 - 150000