Senior Prompt Engineer, Enterprise AI/ML & Automation

Workman Labs; San Jose, Northern (CA, KY); Hybrid; USD 173,000 - 307,000; Full time

Job summary

Adobe in San Jose, CA seeks a Senior / Prompt Engineer (AI/ML) for Brand Concierge to design, test, and integrate prompts powering enterprise LLM workflows, including templates, multi-step chains, and function calls.

You will define agent personas, manage memory and context, and collaborate with legal and security teams to address privacy, fairness, and misuse risks. Strong Python and API skills required.

Qualifications

• 3+ years of experience in NLP, AI/ML product development, or application scripting.
• Strong grasp of LLM capabilities and limitations (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.

Responsibilities

• Develop prompt templates and multi-step chains tailored to business functions like sales enablement, support, and knowledge management.
• Develop few-shot, zero-shot, and hybrid prompt patterns for enhanced reasoning and context retention; maintain prompt libraries with version control.
• Implement LLM function calling to trigger APIs, databases, and internal tools; build tool-use pipelines within agent workflows.
• Define agent personas, roles, and behaviors; manage multi-turn conversations, memory handling, and contextual continuity.
• Tailor prompts for enterprise accuracy, privacy, fairness, and compliance; work with legal and security teams on hallucination, bias, and misuse risks.
• Partner with AI Agent Engineers to integrate prompts into agent workflows and orchestration pipelines.

Skills

NLP

AI/ML

Python

API integration

Communication

Prompt engineering

Tools

LangChain

Semantic Kernel

AutoGen

Job description

Adobe in San Jose, CA seeks a Senior / Prompt Engineer (AI/ML) for Brand Concierge to design, test, and integrate prompts powering enterprise LLM workflows, including templates, multi-step chains, and function calls.

You will define agent personas, manage memory and context, and collaborate with legal and security teams to address privacy, fairness, and misuse risks. Strong Python and API skills required.