- Develop, fine-tune, and deploy LLM-based applications using Python.
- Implement GenAI solutions using prompt engineering and vector databases.
- Build and optimize NLP models such as text classification, sentiment analysis, and summarization.
- Use frameworks such as LangChain or similar for LLM orchestration.
- Support rapid application development using Streamlit, FastAPI, or Flask.
- Collaborate with cross-functional teams in an Agile environment.
- 6+ years of overall experience in development, data analytics, or data science.
- 2+ years of hands-on experience with deep learning, NLP, and GenAI technologies.
- Strong Python programming skills.
- Experience with TensorFlow, PyTorch, and Hugging Face Transformers.
- Hands-on experience with vector databases and prompt engineering techniques.
- Solid understanding of large language models and real-world applications.
- Experience deploying AI/ML solutions on Azure or GCP (preferred).
- Knowledge of agentic or multi-agent architectures (e.g., AutoGen) is a plus.
- Healthcare domain knowledge is a plus.
USA_Developer - Woonsocket - Varite
Description
Pay Rate Range:
$ /hr.
GBaMS ReqID:
Job Description:
We are seeking a GenAI / NLP Developer with strong Python and deep learning experience to support the development and deployment of LLM-based solutions.
The ideal candidate will have hands-on experience with GenAI projects, vector databases, and modern AI frameworks, with exposure to cloud platforms and agentic architectures.
Key Responsibilities:
Required Skills and Experience:
Skills:
Digital : Python~AI & GenAI for BPS
Experience Required: 8-10 years