Role overview
Position: Senior Generative AI Engineer (Python & LLMs)
Location: Woonsocket, RI *Day 1 Onsite
Minimum of 2 years of hands-on experience working with deep learning models in NLP, Python, Generative AI (GenAI), and AI-related technologies.
Overall 6+ years of experience in software development, data analytics, or data science.
Write efficient, well-documented Python code for building, fine-tuning, and deploying LLM-based applications.
Strong understanding of deep learning techniques, architectures, and best practices.
Solid knowledge of large language models (LLMs) and their real-world applications.
Experience Delivering GenAI-based Projects, Including
Prompt engineering techniques
Vector databases for storing and retrieving model-driven data
Hands-on experience with orchestration frameworks such as LangChain or similar tools.
Demonstrated Python Expertise, With Strong Experience Using
TensorFlow
PyTorch
Hugging Face Transformers
Implementation and optimization of deep learning models for use cases such as:
Text classification
Sentiment analysis
Summarization
Familiarity With Rapid Application Development Frameworks, Including
Streamlit
FastAPI
Flask
Experience deploying and scaling machine learning models on cloud platforms such as Azure or GCP.
Knowledge of agentic architectures and multi-agent patterns (e.g., AutoGen or similar frameworks).
Healthcare domain knowledge preferred.
Desirable Skills: Skills: Digital : Python~AI & Gen AI - Products & Tools
Experience Required: 10 & Above
What we're looking for
Overall 6+ years of experience in software development, data analytics, or data science.
Write efficient, well-documented Python code for building, fine-tuning, and deploying LLM-based applications.
Strong understanding of deep learning techniques, architectures, and best practices.
Solid knowledge of large language models (LLMs) and their real-world applications.
Experience Delivering GenAI-based Projects, Including
Prompt engineering techniques
Vector databases for storing and retrieving model-driven data
Hands-on experience with orchestration frameworks such as LangChain or similar tools.
Demonstrated Python Expertise, With Strong Experience Using
TensorFlow
PyTorch
Hugging Face Transformers
Implementation and optimization of deep learning models for use cases such as:
Text classification
Sentiment analysis
Summarization
Familiarity With Rapid Application Development Frameworks, Including
Streamlit
FastAPI
Flask
Experience deploying and scaling machine learning models on cloud platforms such as Azure or GCP.
Knowledge of agentic architectures and multi-agent patterns (e.g., AutoGen or similar frameworks).
Healthcare domain knowledge preferred.
Desirable Skills: Skills: Digital : Python~AI & Gen AI - Products & Tools
Experience Required: 10 & Above