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Software Engineer, Agentic Developer Platform

Job in Seattle, King County, Washington, 98127, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

DESCRIPTION

At Apple, we don't just build products—we craft experiences that redefine entire ecosystems. The Developer Experience team is at the heart of this innovation, delivering the essential tools and systems that empower hundreds of engineering teams across Apple to build and deploy services with speed, efficiency, and confidence. We're transforming how developers work by weaving AI capabilities directly into their workflows.

Join us and help shape the future of AI-powered developer efficiency at Apple.

MINIMUM QUALIFICATIONS
  • 2+ years of industry experience building backend systems.
  • Strong programming skills in Java and Python.
  • Experience developing AI agents using libraries such as Lang Chain, Llama Index, Haystack or Claude Agent SDK.
  • Background in integrating AI systems into developer tools or productivity platforms.
  • Experience with databases (relational and/or No

    SQL) and scalable service architectures.
  • Excellent communication skills and a collaborative mindset.
  • BS, MS or PhD in Computer Science/Engineering or equivalent experience
  • Experience with cloud infrastructure, containerization, and CI/CD pipelines.
PREFERRED QUALIFICATIONS
  • Passion for developer experience and empathy for building tools that empower other engineers.
  • Experience with Type Script and frontend development.
  • Familiarity with AI/ML frameworks (e.g., PyTorch, Tensor Flow) and LLM libraries (e.g., Lang Chain, Hugging Face).
  • Experience with Kubernetes for container orchestration and deployment.
  • Experience with messaging systems (e.g., Kafka) and microservices architectures.
  • Knowledge of algorithms, data structures, and distributed systems principles.
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