Position: Generative AI Engineer
Key Qualifications:
• Proficiency in Python programming.
• Expertise in Langchain, Autogen & langsmith for advanced API interactions and large-scale data processing.at production level
• In-depth knowledge of Hugging Face's transformer models and libraries.
• Experience in developing and deploying applications with FastAPI and Websockets
• Specialized understanding of Generative Large Language Models (LLMs) and their applications.
Responsibilities:
Generative AI/ML & LLM Expertise:
• Employ Autogen and Langchain for sophisticated API interactions and to process large datasets.
• Interpret flowcharts to understand and design AI-driven workflows.
• Integrate Hugging Face and other generative AI models into various applications.
• Apply concepts of Chain of Thought (COT), Tree of Thought (TOT), and ReAct (Response & Act) agents in generative tasks.
• Understand and implement machine learning and generative modeling techniques
• Utilize different prompting strategies to effectively communicate with generative AI models.
• Work with deep learning frameworks such as PyTorch or TensorFlow for model training and inference.
• Develop causal inference models to understand data relationships and generate predictive insights.
• Leverage LLMs for analyzing log data, code review, correction, and generation.
• Extract insights from structured data sources like Excel, BigQuery, and SQL using generative models.
• Integrate LLMs into API functions for enhanced interactivity and automation in tasks such as form-filling.
• Expose open source models like LLama2 as APIs for broader application use.
• Ensure the security and integrity of prompts and input data in generative AI applications.
Location: Dallas, TX
Posted: Aug. 26, 2024, 1:55 a.m.
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