AI Agents Engineer

Tech3pillars Technologies

  • NULL, VA
  • 11 days ago

    Highlights

    Partner closely with teams in data science, engineering, operations, and research to translate high-impact opportunities into robust, production-grade solutions. Tackle complex AI challenges, such as ensuring agent reliability at scale, developing novel evaluation frameworks, and pioneering privacy-preserving agentic architectures.

    Numbers & Facts

    LocationNULL, VA

    Description

    Posation: AI Agents Engineer

    Location: Sunnyvale, CA


    Job Description -
    As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple.
    Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence.
    Guide a team of engineers to build and scale sophisticated AI agents that can reason, learn, and act across diverse data landscapes.
    Lead the integration of AI agents with I the Apple data and platforms ecosystem.
    Tackle complex AI challenges, such as ensuring agent reliability at scale, developing novel evaluation frameworks, and pioneering privacy-preserving agentic architectures.
    Partner closely with teams in data science, engineering, operations, and research to translate high-impact opportunities into robust, production-grade solutions.


    Minimum Qualification -
    8+ years of software development or machine learning experience.
    M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.
    4+ years of experience in a technical leadership role.
    Strong programming skills in Python and applied experience with a range of LLMs.
    Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).
    Hands-on experience developing, deploying, and operating AI agents in production.
    Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.

    Preferred Qualification -
    A portfolio of deployed agentic systems that have delivered significant, measurable impact.
    Experience in evaluation frameworks for AI agents.
    Proven expertise in optimizing AI agents for latency, scalability, and cost.
    A track record of thought leadership or contributions to the field of agentic AI.

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