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Adobe

Applied AI Engineer

Adobe
San Jose, CA $114k - $215k/yr Full time Posted 4d ago
Backend Developer Python Agentic Ai Ai Agent Ai Agent Platform Artificial Intelligence Generative AI Llm Apis
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Job Description

Work onsite in San Jose to design, productionize, and operate agentic AI systems that improve engineering workflows and accelerate organization-wide AI adoption.

Responsibilities

  • Build scalable Agentic AI platforms that empower developers and improve engineering efficiency
  • Create reusable agent templates and modular components to speed deployment across business units
  • Productionize AI systems from prototypes to production-ready implementations
  • Develop autonomous agents and agent skills for tasks including code generation and tool calling
  • Optimize model performance by reducing latency and improving reliability
  • Apply prompt engineering strategies, memory handling, resource management, and tool-calling integrations
  • Own the full lifecycle of agent development, including design, versioning, orchestration, and continuous learning
  • Ensure real-world performance of agent workflows in production environments

Requirements

  • 3–5+ years of experience in AI/ML engineering and backend development
  • Experience in production with LLM APIs or AI-powered services
  • Hands-on experience with AI tooling such as LangChain or LlamaIndex, and vector databases
  • Ability to measure and improve solve rates and accuracy
  • Strong engineering fundamentals including Python and REST
  • Experience with event streaming and data pipelines, including Kafka, Flink, Kinesis, and Spark, Databricks, or comparable tools
  • Familiarity with production operations: Kubernetes, CI/CD, monitoring, alerting, and incident response
  • Familiarity with cloud platforms such as AWS, GCP, or Azure, plus REST APIs, Python, and containerization tools like Docker and K8s

Technologies

  • Python, REST
  • LLM APIs
  • LangChain, LlamaIndex
  • Vector databases
  • Kafka, Flink, Kinesis
  • Spark, Databricks
  • Kubernetes, Docker, K8s
  • CI/CD, monitoring, alerting, incident response
  • AWS, GCP, Azure

Interview AI Use Guideline

  • Using AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as a reasonable accommodation

Location: San Jose, CA (onsite)

Compensation: USD 114,100 - 214,950 per year

Minimum experience: 3 years

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