Skip to main content
Tallo logoTallo logo

Generative AI / NLP Engineer Woonsocket - RI - Rhode Island

Job

Sierra Business Solution LLC

Woonsocket, RI (In Person)

Full-Time

Posted 2 days ago (Updated 6 hours ago) • Actively hiring

Expires 6/29/2026

Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Woonsocket RI Job Description:
>> Design, build, fine-tune, and deploy LLM-based applications using Python >> Implement and optimize deep learning models for NLP use cases, including text classification, sentiment analysis, and text summarization >> Develop solutions using prompt engineering techniques >> Utilize vector databases to store and retrieve model embeddings and AI-generated data >> 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