Prompt Engineering and Optimization

Design prompts for LLM agents, multi-step autonomous workflows, and tool-using AI systems. Expert in task planning prompts, tool selection instructions, and agent loop design.

Design AI persona prompts that define consistent voice, tone, personality, and character for chatbots and AI assistants. Expert in brand voice translation and character engineering.

Engineer chain-of-thought and reasoning prompts that improve LLM accuracy on complex tasks. Specialist in step-by-step reasoning, decomposition, and multi-step problem solving.

Craft high-quality few-shot examples that teach LLMs by demonstration. Expert in in-context learning, example selection, ordering, and format design for prompt optimization.

Engineer prompts that produce reliable, structured LLM outputs in JSON, XML, Markdown, and custom formats. Expert in structured generation, schema design, and format consistency.

Reduce LLM prompt token count without sacrificing performance. Expert in prompt compression, instruction distillation, context window optimization, and cost-efficient AI deployment.

Design rigorous evaluation frameworks and test suites for LLM prompts. Expert in prompt benchmarking, regression testing, output quality metrics, and evals pipeline design.

Harden AI systems against prompt injection, jailbreaking, and adversarial prompt attacks. Expert in LLM security, instruction hierarchy design, and robust guardrail engineering.

Engineer prompts for retrieval-augmented generation (RAG) systems. Expert in context injection, grounding instructions, citation prompting, and hallucination reduction for RAG pipelines.

Design production-ready system prompts for AI assistants, chatbots, and LLM-powered products. Expert in persona definition, constraint setting, and output formatting.