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AI Engineer, Agent Product

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Jobright.ai
Full Time, Part Time position
Listed on 2026-06-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Full Stack Developer, Backend Developer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer, Agent Product (Full-time/Part-time)

Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production.

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
Qualifications

Required

  • Familiarity with at least one programming language (e.g. Python, JavaScript, Type Script)
  • 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, Clawd Bot, Open Code, 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
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