Senior Full Stack Engineer, AI
Senior Full Stack Engineer building AI-enabled internal tools and workflows for game content production using TypeScript, Node.js, and React. You will automate and scale content creation for live-service games.
- Compensation
- CA$100K–CA$150K / yr
- Location
- Toronto, Canada
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Must have
- Several years of experience shipping production full stack web applications
- Strong TypeScript and Node.js experience
- Production experience with React, Next.js, or similar modern frontend frameworks
- Strong SQL and Postgres experience, including schema design and relational modeling
- Experience owning features or products end to end
- Experience turning ambiguous goals into clear specs and technical plans
- Comfort working with content-generation systems and workflow orchestration
- Strong understanding of APIs, backend services, and data models
- Disciplined git, pull request, review, testing, and deployment practices
- Strong communication skills with technical and non-technical stakeholders
- 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
- Evaluating generated outputs for correctness and production readiness
- Designing guardrails, review gates, and approval flows
Nice to have
- Experience shipping generative AI or agentic AI features in production
- Experience with LangChain, LlamaIndex, Vercel AI SDK, OpenAI, Anthropic, or Gemini
- Experience with queues, workers, background jobs, or event-driven systems
- Experience building internal tools for creative production
- Experience with art, animation, Flash, Animate, or asset pipelines
- Experience in gaming, live-service products, or virtual worlds
Full 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 else’s 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 You’ll 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.