Prompt engineer
· Proven experience (2+ LLM production projects) designing and deploying prompts in real-world applications.
· Excellent understanding of prompts structure, contexts
· Proficiency in Python, including experience with LLM APIs, prompt engineering frameworks, and data manipulation tools (e.g. Pandas).
· Experience with at least one fine-tuning or RAG pipeline implementation.
· Familiarity with prompt evaluation tools, metrics (e.g., BLEU, ROUGE, semantic similarity), and human-in-the-loop validation.
· Understanding of LLM-related security concerns, such as prompt injection, output filtering, and API limitations, output struturing
· Excellent communication skills and ability to translate complex document requirements into actionable prompt logic.
· Strong analytical mindset with attention to both high-level design and low-level output consistency.
Good to have:
· Experience with vector databases and retrieval-augmented generation.
· Exposure to tools like LangChain, LlamaIndex, or similar.
· Prior work with OCR, NLP, or intelligent document processing (IDP) pipelines.
