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GenAI Prompt Engineer

2 weeks ago

Melbourne, Victoria, Australia beBeePrompt Full time US$125,000 - US$175,000
Job Description

We are seeking a skilled professional to design and develop the prompts, system messages, and evaluation strategies that power our GenAI features.

You will work closely with applied ML teams, product managers, and researchers to ensure LLM outputs are accurate, safe, and aligned with product goals.

This is a hands-on, experimentation-heavy role, perfect for someone who blends strong ML engineering skills with deep curiosity about language models and a passion for improving AI output quality.

Key Responsibilities:

  • Create and refine prompts, system messages, and instructions for LLM-powered products.
  • Work with ML engineers to design automated and human-in-the-loop evaluation pipelines for prompt performance, accuracy, and safety.
  • Run structured experiments to compare prompts, parameter settings, and model variants, using A/B testing and offline benchmarks.
  • Adapt prompts for multiple LLM providers while maintaining consistency in behavior.
  • Maintain prompt libraries, guidelines, and best practices to accelerate development across teams.
Requirements

To be successful in this role, you should have:

  • 2–4 years of ML, NLP, or software engineering experience, with exposure to production-grade AI systems.
  • Understanding of how prompts, temperature, system instructions, and context windows impact LLM behavior.
  • Experience designing or running experiments to assess model output quality, accuracy, and safety.
  • Proficiency in Python, with experience in data analysis, scripting, and working with APIs.
  • Ability to identify failure cases, debug prompt behavior, and iterate quickly.
  • Ability to work effectively in cross-functional teams and take feedback constructively.
Preferred Qualifications

The following qualifications are highly desirable:

  • Experience with prompt engineering or prompt chaining for LLMs.
  • Knowledge of few-shot and zero-shot prompt design.
  • Familiarity with vector databases, retrieval-augmented generation (RAG), and grounding techniques.
  • Exposure to agentic frameworks such as LangChain, Haystack, or semantic workflow engines.
What We Offer

As a member of our team, you can expect:

  • Full ownership of the projects you work on.
  • Opportunities to learn and grow with a passionate team.
  • Exciting projects, ability to implement your own ideas and improvements.
  • Flexible working hours, professional development funds, comfortable office and remote setup, and premium medical insurance.

Our hybrid way of working enables us to come together in person to connect, collaborate, and learn, while also giving our people the flexibility to work remotely for part of the week. We believe in fostering global diversity, equity, and inclusion in the workplace.