Prompt Engineer

Adobe•San Jose, CA

14d

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 are seeking a creative and technically skilled Prompt Engineer to enhance large language model (LLM) performance across business-critical workflows. This position centers on designing, testing, and integrating strategies that drive intelligent agents and enterprise use cases. You will work closely with AI engineers, product teams, and domain experts to guarantee scalable, safe, and high-accuracy AI applications.

Requirements

3+ years of experience in NLP, AI/ML product development, or application scripting
Strong grasp of LLM capabilities and limitations (e.g., OpenAI, Claude, Mistral, Cohere)
Experience crafting prompts and evaluation methods for enterprise tasks
Familiarity with frameworks like LangChain, Semantic Kernel, or AutoGen
Strong Python and API integration skills
Excellent written communication and structured thinking

Nice To Haves

Experience with LLM function calling, custom tool integration, and agent workflows
Background in UX writing, human-computer interaction, or instructional design
Understanding of enterprise compliance (e.g., SOC 2, GDPR) in AI systems
Bachelor's or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, or a related field

Responsibilities

Prompt Strategy & Design Develop templates and multi-step chains tailored to specific business functions (e.g., sales enablement, support, knowledge management)
Develop few-shot, zero-shot, and hybrid patterns for enhanced reasoning and context retention
Maintain libraries for reuse and version control
Function Calling & Tool Use Implement LLM function calling to trigger APIs, databases, or internal tools
Build tool-use pipelines within agent workflows for complex task automation
Conversation Flow & Persona Design Define and build agent personas, roles, and behaviors for domain-specific applications
Manage multi-turn conversations, memory handling, and contextual continuity
Enterprise-grade Optimization Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance
Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks
Testing & Evaluation Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance
Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks
Deployment & Integration Partner with AI Agent Engineers to integrate prompts into agent workflows and orchestration pipelines
Maintain documentation and workflows for deployment in production environments