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.
What you'll 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 ML, 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
- Bachelor's or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, or a related field
Expected Pay Range:Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $211,800 - $306,625
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
