Prompt Engineer & NLP Specialist

Responsibilities

• Design, optimize, and test prompts for LLMs tailored to diverse use cases and client needs.
• Fine-tune pre-trained language models using custom datasets to achieve high-quality outputs.
• Lead advanced NLP tasks such as summarization, sentiment analysis, and question answering.
• Integrate NLP modules and prompt workflows into client or product systems.
• Develop and maintain robust prompt libraries with version control and documentation.
• Collaborate with teams to define requirements and translate them into NLP solutions.
• Monitor and evaluate prompt performance metrics and iterate on improvements.
• Mentor junior team members on best practices in NLP and prompt engineering.

Skills

Must-have

• 2–3 years of experience in NLP and prompt engineering with a focus on large language models.
• Proficiency in Python with deep expertise in Hugging Face Transformers and OpenAI API.

Good-to-have

• Strong understanding of vector databases such as Pinecone and FAISS.
• Experience working with LangChain for LLM-based workflows.

Will be a plus

• Knowledge of RAG (Retrieval-Augmented Generation) frameworks and LlamaIndex.
• Familiarity with cloud AI services such as Vertex AI or Azure OpenAI.
• Experience with experiment tracking tools like Weights & Biases.