Adobe
The Opportunity
Our Company Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 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. What Youll Do
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 What You Need To Succeed
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 Preferred Qualifications 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 Bachelors or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, or a related field
Our Company Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 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. What Youll Do
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 What You Need To Succeed
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 Preferred Qualifications 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 Bachelors or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, or a related field