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# Senior / Prompt Engineer (AI/ML), Brand Concierge

- **Company:** Adobe Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $211,800.0 - $306,625.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cognitive Science, Computational Linguistics, Databases, Human-Computer Interaction, Python (Programming Language), Knowledge Management, Large Language Models, Information Technology, Build Tools, Virtual Agents, Software Version Control
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/427ae99f-2047-4043-851d-5d4da0f57000

## About the Role

* 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

## Description

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


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