обновлено 1 час назад
MCP/AI Developer (AI)
99 000 - 145 200CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
MCP/AI Developer (Agentic AI): Building production-grade MCP tools, agentic workflows, and supporting cloud-enabled web services for natural-language interaction with 2D and 3D models with an accent on LLM integration, workflow guardrails, and full-stack engineering. Focus on designing human-in-the-loop steps, evaluating AI behavior, optimizing latency and cost, and troubleshooting across APIs and web interfaces.
Location: Toronto, Ontario, Canada
Salary: CAD 99,000–145,200 annual base salary for Canada-based roles; offers may exceed this range and may include bonuses, stock grants, and benefits.
Company
develops software for designing and making buildings, cars, factories, and media productions.
What you will do
- Build and maintain tested MCP tools, agentic features, and supporting front-end and back-end services.
- Integrate LLMs and models through APIs and SDKs to deliver agentic workflows with attention to correctness, latency, and cost.
- Develop workflow guardrails, including human-in-the-loop steps, traceability, and error handling.
- Contribute to automated tests, AI evaluation harnesses, CI/CD pipelines, and developer tooling.
- Debug agent logic, APIs, and web UI while collaborating with senior engineers and QA.
- Work with Product and UX to translate requirements into technical tasks and identify risks early.
Requirements
- Master’s degree in Computer Science or Computer Engineering, or a bachelor’s degree with 3+ years of relevant experience, or equivalent practical experience.
- Hands-on software development experience in at least one mainstream programming language; TypeScript or JavaScript is preferred.
- Familiarity with HTML, CSS, JavaScript, and a modern web framework such as React.
- Understanding of testing, debugging, code review, Git, and collaborative development workflows.
- Experience or exposure to LLMs or AI APIs, including prompting, model or agent APIs, or basic agentic/RAG features.
- Agile experience, strong problem-solving skills, and strong written and spoken English required.
Nice to have
- Node.js back-end development and RESTful APIs.
- Model Context Protocol, agent frameworks, or tool-calling experience.
- AWS, Docker, GitHub Actions, CI/CD, and observability tooling.
- Knowledge of embeddings, vector search, RAG, or model evaluation.
- 2D/3D rendering, visualization, WebGL, or WebGPU experience.
Culture & Benefits
- Work on agentic AI capabilities for ’s visualization products and real users.
- Compensation may include annual cash bonuses, stock grants, and a comprehensive benefits package.
- emphasizes belonging, collaboration, and meaningful work.
- In-person onboarding and/or identity verification may be required.
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