Prompt & Conversation Design Engineer
Prompt & Conversation Design Engineer

Overview

The Prompt & Conversation Design Engineer crafts the language, logic, and behavior that make AI systems useful, safe, and delightful. This role blends linguistics, UX, and engineering to shape how users interact with AI products.

 

Your Role and Responsibilities

What You’ll Do

Key Responsibilities

  • Design, test, and optimize prompts and system instructions for LLM applications.
  • Define conversation flows, tone, and persona for AI assistants and agents.
  • Build evaluation datasets and rubrics to measure output quality.
  • Collaborate with engineers to implement guardrails and fallback behavior.
  • Run experiments to improve accuracy, safety, and user satisfaction.
  • Document prompt patterns and best practices for reuse.

REQUIREMENTS

What This Role Requires

Working at Motivus

Education

  • Bachelor’s degree in Linguistics, Computer Science, HCI, or a related field.

Experience

  • 2+ years working with LLMs, conversational AI, or content/UX design.
  • Portfolio of prompt engineering or conversation design work.

Technical Skills

  • Deep understanding of prompt engineering techniques and LLM behavior.
  • Familiarity with LLM APIs and orchestration tools.
  • Basic scripting (Python) for testing and evaluation.
  • Understanding of evaluation metrics and guardrails.

Soft Skills

  • Exceptional written communication and attention to nuance.
  • Empathy for end users and their intent.
  • Analytical, experiment-driven mindset.
  • Creativity balanced with rigor.

What Working Here Looks Like

  • Guild community: You’re part of the [Data & AI / Backend / Cloud] Guild — a community of practitioners in your domain. Structured learning, peer review, and certifications happen here, not in isolation.
  • Outcome accountability: Your work connects directly to a client result. We don’t measure activity — we measure delivery.
  • AI in your workflow: Through AI Champions and Guild initiatives, you’ll actively use and shape how AI tools are applied to engineering work — not just hear about it in a townhall.
  • Defined career path: Structured progression from individual contributor to technical lead to Guild leadership, with certifications and milestones that are visible, not arbitrary.
Location
Argentina, Brazil, Costa Rica, Mexico, USA

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