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AI Engineer, Agent Product

Jobright Ai — Canada · Posted ~1 day ago

Skills

Python JavaScript TypeScript Backend development Full-stack development Application development AI agents Applied LLM systems End-to-end feature ownership API development Agent infrastructure Agent orchestration Monitoring Reliability Agent evaluation LLMs AI Agents Agent Orchestration APIs

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Summary

Build and deploy production-grade AI agents that solve real user and business problems. You will design end-to-end agent applications and interaction flows, develop APIs and supporting infrastructure, establish evaluation systems for quality, reliability, latency, and cost, and continuously improve performance using real-world feedback. This role is ideal for a hands-on engineer who enjoys ownership, rapid iteration, ambiguous problems, and turning applied LLM capabilities into useful products.

Highlights

High ownership and impact, hands-on work with production AI agents, exposure to cutting-edge agent and LLM technologies, close collaboration with product and business teams, and the opportunity to shape user-facing AI experiences.

Description

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