Senior Prompt Engineer, Brand Concierge

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$211,800–$306,625 / yr
Posted
165 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $259k
$161k most similar roles pay here $322k

This role pays more than 79% of similar roles. Most pay $176,600–$254,750 — the shaded band above. At the midpoint, this role pays about $259k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

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At a glance

TL;DR · Senior Prompt Engineer, Brand Concierge

Senior / Prompt Engineer (AI/ML), Brand Concierge will join a team focused on enhancing large language model performance across business-critical workflows. The role involves designing, testing, and integrating strategies to drive intelligent agents for enterprise use cases such as sales enablement, support, and knowledge management. You will develop multi-step chains using few-shot or zero-shot patterns, manage persona design for multi-turn conversations, and implement function calling to trigger APIs and databases. Key responsibilities include ensuring accuracy, privacy, and compliance while mitigating hallucination risks in production environments. The position requires expertise in Python, API integration, and frameworks like LangChain, Semantic Kernel, or AutoGen. Candidates must demonstrate proficiency with models from OpenAI, Claude, Mistral, and Cohere to build robust tool-use pipelines and maintain high-quality prompt libraries for scalable enterprise applications.

What you'll do

  • Develop multi-step prompt chains and templates for specific business functions like sales and support.
  • Create few-shot, zero-shot, and hybrid prompting patterns to improve reasoning and context retention.
  • Implement LLM function calling to trigger APIs, databases, and internal tools within agent workflows.
  • Design and manage agent personas, roles, and behaviors for multi-turn conversations.
  • Optimize prompts for enterprise requirements including accuracy, privacy, fairness, and compliance.
  • Mitigate hallucination, bias, and security risks in collaboration with legal and security teams.
  • Integrate prompts into production orchestration pipelines and maintain technical documentation.

What we're looking for

  • 3+ years of experience in NLP, AI/ML product development, or application scripting.
  • Strong understanding of LLM capabilities and limitations across models like OpenAI, Claude, Mistral, and Cohere.
  • Experience crafting prompts and evaluation methods for enterprise tasks.
  • Proficiency with frameworks such as LangChain, Semantic Kernel, or AutoGen.
  • Strong skills in Machine Learning, Python, and API integration.
  • Preferred experience with LLM function calling, custom tool integration, and agent workflows.
  • Background in UX writing, human-computer interaction, or instructional design is preferred.
  • Bachelor's degree or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, or a related field.

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