Senior AI Agent Engineer

Adobe • San Jose, CA

22h

About The Position

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We’re looking for a highly motivated AI Agent Engineer to join the team building Adobe’s next-generation AI-first marketing application. This platform is redefining customer engagement workflows with speed, agility, and full-stack productivity for modern marketers.

Requirements

• Degree in Computer Science, Data Science, Engineering, or a related field
• 5+ years of experience in AI/ML engineering, NLP systems, or backend development
• Strong proficiency with LLM frameworks (e.g., OpenAI APIs, LangChain, RAG pipelines)
• Experience building conversational agents or workflow bots in production environments
• Familiarity with cloud platforms (AWS/GCP/Azure), REST APIs, and containerization (Docker, K8s)
• Comfort with prompt design, vector databases, and memory handling strategies
• Experience with multi-agent frameworks or agent orchestration systems
• Familiarity with data labeling workflows and synthetic data generation

Responsibilities

• Build and fine-tune specialized AI agents for marketing and support function for an enterprise
• Implement prompt engineering strategies, memory handling, resource management and tool-calling integrations
• Adopt agent-to-agent communication protocols and handoff mechanisms to enable cooperative task execution and delegation
• Build orchestrated workflows across agents using frameworks like LangChain, AutoGen, or Semantic Kernel
• Track and improve conversation quality, task success rate, user satisfaction, and performance metrics
• Implement learning workflows, including human-in-the-loop feedback and automatic retraining
• Handle knowledge base updates, drift detection, performance degradation, and integration of new business logic
• Ensure agents stay aligned with evolving enterprise data sources and compliance requirements

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees