Summary
✨ AI‑Generated
A fast-growing technology team is seeking an AI Engineer to design and deploy intelligent agent systems. The role involves building user-facing AI applications, developing reliable infrastructure, improving system quality, and collaborating with cross-functional teams to solve practical problems.
Highlights
Opportunity to build production AI systems with high ownership, working across artificial intelligence, automation, and product development.
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
