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Prompt Engineer

2 hours, 51 minutes ago
Mexico
Mid Level
Prompt Engineer
Software Development
Generative AI LLM Python
Apply Now
Firework

Firework

Firework offers a cutting-edge video commerce and livestreaming platform that enables businesses to create shoppable videos and engage customers through interactive digital experiences.

Internet Software & Services
251-1K
Founded 2017
$269M raised
View All Jobs 5

Description

  • Design, test, and refine prompts for a range of generative AI applications, including chat, audio synthesis, avatar animation, lip-sync alignment, and product image generation.
  • Develop and curate golden datasets for prompt evaluation and regression testing to support quality control and reproducibility.
  • Document prompt best practices and create reusable prompt templates for internal stakeholders.
  • Refactor existing prompts to align with best-practice prompting approaches.
  • Collaborate with cross-functional teams to integrate AI-driven features into real product experiences.
  • Build and maintain prompt libraries with versioning, metadata tagging, and usage patterns.
  • Improve prompt performance using automated metrics and human-in-the-loop evaluation pipelines.
  • Contribute to the internal evaluation framework by designing new evaluation flows, prompt-specific test cases, and multi-modal metrics.
  • Stay current on prompt engineering techniques, research, and best practices.

Requirements

  • Bachelor’s or Master’s degree in STEM or a related field.
  • Practical experience with large language models and/or multi-modal generative models such as text-to-audio, text-to-image, video, or avatar generation.
  • Familiarity with prompt techniques including zero-shot, few-shot, chain-of-thought, tool usage, and retrieval-based augmentation.
  • Strong analytical and linguistic intuition to translate abstract goals into machine-readable instructions.
  • Ability to create and maintain curated evaluation datasets or golden sets for ongoing testing and benchmarking.
  • Strong writing and communication skills for explaining prompt behavior, rationale, and trade-offs to technical and non-technical audiences.
  • Hands-on experience with Python or another scripting language is preferred.
  • Experience with Jupyter Notebooks or LLM ops tools and libraries such as LangChain, LangFuse, PromptLayer, or vector search systems is preferred.
  • Experience designing or working within evaluation pipelines, including human and automated evaluations, metric design, and result interpretation is preferred.
  • Deep interest in language and communication systems and how humans and machines interact through prompt-based interfaces.

Interested in this position?

Apply directly on the company website

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