We are looking for a passionate AI Engineer with strong expertise in Python, Natural Language Processing (NLP), and Large Language Models (LLMs). You’ll work on developing intelligent language-based solutions, integrating LLM APIs (like OpenAI, Cohere, Claude, Hugging Face), and building custom NLP pipelines for real-world applications.

Key Responsibilities :

Model Development & NLP Engineering

Design and build NLP pipelines for tasks like classification, NER, summarization, sentiment analysis, and Q&A.
Fine-tune and optimize open-source LLMs (e.g., BERT, GPT, T5) using Hugging Face Transformers.
Preprocess and structure large-scale textual datasets using SpaCy, NLTK, or custom tokenizers.

LLM Integration & Prompt Engineering

Integrate LLM APIs (OpenAI, Claude, Cohere, Hugging Face) into real-time applications.
Develop and iterate on prompt strategies to maximize LLM performance and reliability.
Collaborate with product teams to embed LLMs into chatbots, match explainers, recommendation systems, and user-facing tools.

Deployment & Continuous Improvement

Deploy models as APIs using Flask, FastAPI, or Streamlit; containerize with Docker.
Monitor model outputs and performance metrics; iterate based on evaluations and user feedback.
Stay updated with the latest in GenAI, NLP benchmarks, and open-source tools.