Role overview
We are seeking a Prompt Engineer with 1-3 years of hands-on experience working with AI tools and large language models. This role goes beyond writing prompts and focuses on understanding the strengths and weaknesses of different models, building prompt systems and workflows, benchmarking performance, and optimizing for both quality and cost.
The ideal candidate can move from concept to implementation, creating repeatable processes and evaluation frameworks that support real-world business use cases.
What you'll work on
- Design, develop, and maintain prompt strategies and systems for business applications
- Evaluate and compare AI models based on performance, cost, latency, and context limitations
- Build structured prompt workflows, loops, and iteration strategies
- Develop benchmarking and evaluation methods to measure output quality and consistency
- Experiment with context windows, system instructions, and prompt structure to improve results
- Recommend appropriate models for specific tasks to balance accuracy and cost efficiency
- Document prompt strategies, findings, and best practices
- Stay current on developments in the rapidly evolving AI ecosystem
What we're looking for
- Familiarity with programming concepts or scripting (e.g., Python, JavaScript, APIs)
- Experience working with multiple AI models or providers
- Experience integrating AI into workflows, automations, or internal tools
- Experience developing testing or benchmarking frameworks
Tags & focus areas
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