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AI Engineer, Agent Product (Full-time/Part-time) (Canada)
- Canada
Full-time · Part-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time · Part-time
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI agents for various applications while collaborating with product and business teams to create effective solutions.
Why Join Us
- Build real, production AI agents used by real users
- High ownership and impact
- Work at the intersection of AI, agents, and product
- Shape how people experience AI-driven job search
Responsibilities
- Design, build, and deploy end-to-end AI agents for business and user-facing applications
- Develop agent-driven applications, including user interaction flows and APIs
- Build and maintain agent infrastructure, including orchestration, monitoring, and reliability
- Implement and iterate on agent evaluation (quality, reliability, latency, cost)
- Collaborate closely with product and business teams to translate real problems into agent solutions
- Continuously improve agent performance using real-world feedback and data
Qualification
Required
- Familiarity with at least one programming language (e.g. Python, JavaScript, TypeScript)
- Experience with writing a lot of code, backend or full-stack
- Experience building applications
- Strong interest in AI agents and applied LLM systems
- Ability to own features end-to-end, from design to production
Preferred
- Hands-on experience using and deploying AI agents, such as: Claude Code, Codex, ClawdBot, OpenCode, or similar agent frameworks/tools
- Experience with agent orchestration, tooling, or infra
- Experience building production AI products rather than demos
- Experience in fast-moving startup environments
- Product-minded approach and comfort with ambiguous problems
More about this job
Responsibilities
Design, build, and deploy end-to-end AI agents and agent-driven applications, including user interaction flows, APIs, and supporting infrastructure. Evaluate and improve agent quality, reliability, latency, and cost using real-world feedback, while collaborating with product and business teams.
Requirements
Candidates should be familiar with at least one programming language and have substantial coding experience in backend or full-stack development, as well as experience building applications. They should be interested in AI agents and applied LLM systems and able to own features from design through production; experience deploying agents, agent infrastructure, production AI products, or working in startups is preferred.
Skills
- Python
- JavaScript
- TypeScript
- Backend Development
- Full-Stack Development
- Application Development
- AI Agents
- Applied LLM Systems
- Agent Orchestration
- Agent Infrastructure
- API Development
- Monitoring
- Reliability
- Agent Evaluation
- End-to-End Feature Ownership
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
Keywords
- AI Agents
- Applied LLM Systems
- Python
- JavaScript
- TypeScript
- Backend Development
- Full-Stack Development
- Agent-Driven Applications
- User Interaction Flows
- APIs
- Agent Infrastructure
- Agent Orchestration
- Monitoring
- Reliability
- Agent Evaluation
- Quality
- Latency
- Cost Optimization
- Production AI Products
- Real-World Feedback
- Startup Environment
- Product Development
- Software Development