Senior Agentic AI Engineer

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 151,800 - 265,350 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Problem-solving","Continuous learning","System design","Ownership"]

Build Adobe’s agentic harness platform that powers agentic products and workflows at scale. Apply expertise in AI agents, model APIs, MCP servers/tools, semantic retrieval, evaluations, safety and security standards, and observability to deliver reliable platform capabilities. Collaborate with cross-functional teams to create reusable platform services, patterns, and guidance enabling developers to build production-ready agentic applications, while driving complex problem solving and continuous improvement.

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FursaFursa
Adobe Systems
Adobe Systems
5 days ago

Senior Agentic AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build Adobe’s agentic harness platform that powers agentic products and workflows at scale. Apply expertise in AI agents, model APIs, MCP servers/tools, semantic retrieval, evaluations, safety and security standards, and observability to deliver reliable platform capabilities. Collaborate with cross-functional teams to create reusable platform services, patterns, and guidance enabling developers to build production-ready agentic applications, while driving complex problem solving and continuous improvement.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build the agentic harness platform that enables teams to create, evaluate, orchestrate, and operate agentic products and workflows at scale.
  • •Apply knowledge of AI agents, model APIs, MCP servers/tools, semantic retrieval, evaluations, safety and security standards, and observability to deliver reliable platform capabilities.
  • •Collaborate with cross-functional teams to build and deliver innovative solutions.
  • •Enable product teams and developers with reusable platform services, patterns, and guidance for building production-ready agentic applications.
  • •Take initiative to solve complex problems and contribute to continuous learning and improvement.

Pay and Benefits

Salary: USD 151,800 - 265,350 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
  • •Proven experience building intelligent platforms, agentic systems, or developer-facing infrastructure for agent evaluation, orchestration, memory, tool execution, monitoring, and workflow automation.
  • •Proficiency in TypeScript and Python, including familiarity with their surrounding tooling ecosystems.
  • •Experience designing scalable platform APIs and integrations that enable product teams to build and safely operate agentic applications.
  • •Hands-on experience with Anthropic APIs and Claude model capabilities, including model selection, tool use, structured outputs, prompt caching, and agentic workflow operating modes.
Experience:AI agentsAgentic systemsDeveloper infrastructure
Education:Bachelor's
Skills:CommunicationProblem-solvingContinuous learningSystem designOwnership
Tech Stack:TypeScriptPythonAnthropic APIsClaudeMCP servers/toolsSemantic retrievalEvaluationsObservabilityNode.jsReactKubernetesAWSAzureGPT modelsGoogle Nano BananaRAGSemantic searchRedisCI/CDContainerization

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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