Techies4tech.ai is hiring a Mid Prompt Engineer to improve prompt quality and LLM output reliability through structured design, optimization, and evaluation work. This role focuses on shaping prompt strategies, testing model behavior, and helping translate prompt performance into practical improvements for downstream use.
• Prompt design & optimization — target L6 (Prof), must-have • few-shot/chain-of-though — target L6 (Prof), must-have • LLM behavior evaluation, — target L6 (Prof), must-have • dataset curation for fine-tuning — target L6 (Prof), nice-to-have • Working AI leverage — observed and scored, never assumed • 2–6 years of relevant experience
Design, test, and optimize prompts to improve LLM output quality, consistency, and usefulness. Apply few-shot/chain-of-though techniques in prompt development and iteration. Evaluate LLM behavior through structured review of outputs, document findings, and use those findings to guide prompt improvements. Where relevant, contribute to dataset curation efforts that support fine-tuning workflows.
this position is for US based clients.
This role offers the opportunity to contribute directly to how LLM-driven experiences are shaped, evaluated, and improved in practice. It is a focused mid-level position for someone who wants to apply prompt design, few-shot/chain-of-though, and LLM behavior evaluation in hands-on work with clear impact, with additional scope to support dataset curation for fine-tuning as a preferred capability.
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