Applied AI Engineer

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 114,100 - 214,950 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Problem-solving","Reliability","Continuous learning","Performance optimization","Engineering fundamentals"]

Design, build, and maintain intelligent AI agents that drive enterprise automation. Own the full lifecycle from agent design and versioning to orchestration and continuous learning, scaling reusable templates and modular components for deployment across business units. Productionize AI models, develop autonomous skills for tasks like code generation and tool calling, and optimize workflow performance for low latency, reliability, and measurable improvements in accuracy. Collaborate on production operations across cloud and Kubernetes.

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FursaFursa
Adobe Systems
Adobe Systems
5 hours ago

Applied AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, build, and maintain intelligent AI agents that drive enterprise automation. Own the full lifecycle from agent design and versioning to orchestration and continuous learning, scaling reusable templates and modular components for deployment across business units. Productionize AI models, develop autonomous skills for tasks like code generation and tool calling, and optimize workflow performance for low latency, reliability, and measurable improvements in accuracy. Collaborate on production operations across cloud and Kubernetes.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and maintain intelligent AI agents across the full lifecycle, from design and versioning to orchestration and continuous learning.
  • •Build scalable agentic AI platforms and reusable agent templates/components to accelerate deployment across business units.
  • •Productionize AI models from prototypes into production-ready systems.
  • •Develop autonomous agent skills for tasks such as code generation and tool calling, and implement prompt engineering and memory handling.
  • •Optimize agent and model workflows for reduced latency, improved reliability, and higher accuracy/solve rates, including production monitoring and incident response support.

Pay and Benefits

Salary: USD 114,100 - 214,950 annually

Key Requirements

  • •3–5+ years of experience in AI/ML engineering and backend development.
  • •Prior production exposure to LLM APIs or AI-powered services.
  • •Experience with AI tools such as LangChain or LlamaIndex and vector databases.
  • •Strong engineering fundamentals (Python, REST) and ability to measure and improve accuracy/solve rates.
  • •Experience with production operations including Kubernetes, CI/CD, monitoring, alerting, and incident response.
Experience:3+ yearsAI/MLBackend developmentLLMVector databasesProduction operations
Skills:Problem-solvingReliabilityContinuous learningPerformance optimizationEngineering fundamentals
Tech Stack:PythonRESTLangChainLlamaIndexVector databasesKafkaFlinkKinesisSparkDatabricksKubernetesCI/CDMonitoringAlertingIncident responseAWSGCPAzureDockerK8s

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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Glassdoor: 4.0
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