Generative AI / NLP Engineer Woonsocket
Role details
Job location
Tech stack
Requirements
Work with deep learning frameworks and libraries such as TensorFlow, PyTorch, and Hugging Face Transformers
Apply knowledge of deep learning architectures and techniques
Use orchestration frameworks such as LangChain or similar tools
Build AI-powered applications using Streamlit, FastAPI, and Flask
Deploy and scale machine learning models on Azure and Google Cloud Platform (Google Cloud Platform)
Write efficient, well-documented, and maintainable Python code
Support CICD pipelines for ML and GenAI deployments
Apply knowledge of agentic architectures and multi-agent patterns such as AutoGen or similar frameworks
Collaborate with cross-functional teams to design scalable AI systems
Requirements:
6-8 years of overall experience in software development, data analytics, or data science
2+ years of hands-on experience with deep learning, NLP, and Generative AI
Strong proficiency in Python
Experience in deep learning, Natural Language Processing (NLP), and Generative AI
Understanding of large language models and their real-world applications
Experience managing AI model lifecycle from development to production
Experience deploying AI solutions on Azure or Google Cloud Platform
Knowledge of healthcare domain workflows and data, >> Familiarity with agentic and multi-agent AI design patterns