Junior Prompt Engineer & NLP Specialist

As a member of our team, you will play a key role in supporting the design and refinement of prompts for large language models (LLMs) to ensure accurate outputs. Your responsibilities will include assisting in data labeling, text preprocessing, and data preparation for NLP workflows. Additionally, you will help evaluate prompt performance, suggest improvements based on testing results, and contribute to small-scale NLP experiments and proof-of-concept studies. It will be essential for you to document prompt variations and results clearly for future reference and collaborate effectively with senior engineers and data scientists to integrate prompts into applications. You will also assist in maintaining prompt libraries, managing version control, and participate in team brainstorming sessions for new NLP features or improvements. To excel in this role, you must have at least 1 year of experience in natural language processing and prompt engineering focused on LLMs. Hands-on experience in Python, with a proficiency in leveraging NLTK or spaCy for text processing, is a must. Exposure to OpenAI API or similar LLM services for prompt design and testing, as well as familiarity with Hugging Face Transformers for basic fine-tuning and experimentation, will be valuable assets. Additionally, having an understanding of LangChain (basic) and Pinecone for vector-based retrieval tasks, along with experience using tools like Streamlit or Gradio for simple NLP demos, will be considered a definite advantage in this role.,