AI Prompt Developer

1 week ago

Davao City, Davao, Philippines beBeeEngineer Full time $120,000 - $175,000
Job Title: AI Prompt Engineer

We are seeking a skilled professional to design, refine and optimize prompts that drive advanced AI systems to deliver accurate, reliable and contextually aligned outputs. This role requires creativity, technical expertise and critical thinking to push the boundaries of what AI models can achieve in real-world applications.

Key Responsibilities:

  • Research and develop effective prompts to optimize AI model outputs across various use cases (e.g. chat, search, analysis, content generation).
  • Conduct systematic testing and iteration to evaluate prompt performance and improve accuracy, reliability and safety.
  • Translate complex user requirements and business goals into AI-driven workflows.
  • Build and maintain a knowledge base of prompt strategies, best practices and reusable templates.
  • Collaborate with engineers to fine-tune model parameters, integrate prompts into production systems and evaluate results at scale.
  • Work with cross-functional teams (product managers, designers, domain experts) to align AI interactions with user expectations.
  • Monitor AI performance and proactively identify areas for refinement.
  • Stay up to date with the latest advancements in AI, LLMs and prompt engineering techniques.

Qualifications:

  • Proven experience working with Large Language Models (LLMs) such as GPT, Claude or similar.
  • Strong analytical and problem-solving skills with a systematic approach to experimentation.
  • Ability to craft precise, creative and context-aware prompts that improve AI outputs.
  • Familiarity with programming/scripting languages (Python, JavaScript or similar) for testing and automation.
  • Experience in data analysis, A/B testing or evaluation metrics for AI performance.
  • Curiosity and adaptability to work in a fast-moving, innovation-driven environment.
  • Experience or knowledge of n8n, Make.

Preferred Skills:

  • Background in computational linguistics, human-computer interaction or cognitive science.
  • Knowledge of fine-tuning or training AI/ML models.
  • Experience building AI-powered applications or tools.
  • Familiarity with ethical AI, bias mitigation and safety considerations in LLMs.

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