AI Prompt Architect

Internet Brands; El Segundo (CA); On-site; USD 60,000 - 105,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

PTO and holidays

Well-being coaching services

Job summary

Internet Brands is seeking a skilled Prompt Engineer to join our AI team in El Segundo, CA. The role focuses on designing, testing, and iterating prompts that drive our AI-powered products, ensuring high-quality, safe LLM outputs across customer-facing features and internal automation.

You will collaborate with product managers, engineers, and designers to maintain prompt quality, explore edge cases, and surface insights that improve model behavior and reliability.

Qualifications

• 2+ years in prompt engineering or a closely related AI/NLP role.
• Hands-on experience with working with LLMs and generative AI.
• Experience with testing and iteration methodologies.

Responsibilities

• Partner with product, engineering, and design to prototype and iterate prompts for production LLM applications.
• Test and iterate on prompts to improve accuracy, consistency, speed and output quality.
• Build prompt templates and libraries for reusable AI solutions across the organization.
• Document prompt patterns and findings for team knowledge sharing.
• Evaluate AI model outputs against quality criteria and implement improvements.
• Collaborate with engineers to integrate prompts into scalable pipelines.
• Monitor model behavior post-deployment and manage versioning and A/B testing.
• Research emerging prompting techniques and apply them.
• Contribute to red-teaming and safety reviews for LLM outputs.

Skills

Prompt engineering

LLM testing

Documentation

Clear communication

Creative problem solving

Agent orchestration

Tools

Agent orchestration

Structured output formatting

Job description

Internet Brands is seeking a skilled Prompt Engineer to join our AI team in El Segundo, CA. The role focuses on designing, testing, and iterating prompts that drive our AI-powered products, ensuring high-quality, safe LLM outputs across customer-facing features and internal automation.

You will collaborate with product managers, engineers, and designers to maintain prompt quality, explore edge cases, and surface insights that improve model behavior and reliability.