Interesting Job Opportunity: Artificial Intelligence/Machine Learning Engineer - NLP/LLM

Description Job Summary Client is looking for a motivated AI/ML Engineer (LLM & NLP) with hands-on experience in Large Language Models and Natural Language Processing to support the development, fine-tuning, and deployment of intelligent AI systems. The ideal candidate will possess strong machine learning fundamentals, experience in information extraction and prompt engineering, and the ability to collaborate with senior engineers to build scalable AI-driven solutions. Key Responsibilities • Assist in the development, fine-tuning, and deployment of LLMs and NLP models for real-world applications. Build And Enhance Information Extraction Pipelines, Including • Entity recognition (NER) • Metadata extraction, classification, and normalization • Structuring outputs into JSON / database-ready formats Work Extensively On Prompt Engineering (mandatory) • Design, test, and optimize prompts for extraction, summarization, Q&A, and classification • Implement prompt templates, guardrails, and evaluation workflows • Collaborate with senior engineers to integrate models into production systems using APIs and services. • Monitor model performance, analyze failures, and recommend continuous improvements. • Stay updated with advancements in LLMs, transformers, NLP, and retrieval/extraction techniques. Required Skills (Must Have) • Minimum 1 year hands-on experience in AI/ML/NLP/LLM projects (strong internships/projects considered). • Strong understanding of machine learning fundamentals and model evaluation techniques. • Proficiency in Python. Experience In NLP Information Extraction, Including • Custom NER / entity extraction from text or documents • Extracting key fields/metadata and converting unstructured text into structured outputs Prompt Engineering (Mandatory) • Understanding of prompt patterns (few-shot prompting, structured output prompts, reasoning-based prompting) • Prompt iteration using evaluation datasets and error analysis • Familiarity with at least one deep learning framework : PyTorch or TensorFlow. • Experience with data handling, preprocessing, and dataset management using Pandas/NumPy. Good To Have • Hands-on experience with transformer-based models. • Experience using Hugging Face Transformers, spaCy, NLTK, or similar NLP libraries. • Experience working with document formats (PDF/HTML/DOCX) and noisy OCR text. Other Requirements • Strong analytical and problem-solving skills. • Good communication and teamwork abilities. (ref:hirist.tech)