Company:
Woongjin, Inc
Location: Ridgefield Park
Closing Date: 21/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description
We're seeking a skilled engineer to lead the development of cutting-edge RAG applications using state-of-the-art LLM technologies. The ideal candidate will have a strong background in AI and NLP, with hands-on experience in building and optimizing LLM-based systems. This role requires expertise in integrating LLM solutions via APIs with both third-party tools and in-house applications. Experience with AWS Bedrock is highly valued, and familiarity with microservices architecture in cloud environments is a significant plus.
Primary Responsibilities:
Design and implement RAG (Retrieval-Augmented Generation) systems
Integrate and optimize Large Language Models (LLMs) via APIs
Develop efficient information retrieval and extraction systems
Build and manage databases and vector stores
Apply Natural Language Processing (NLP) techniques
Monitor performance and continuously improve systems
Integrate LLM solutions with other third-party tools and in-house applications
Design and implement APIs for seamless integration of LLM capabilities
Salary: 100K-110K a year
We're seeking a skilled engineer to lead the development of cutting-edge RAG applications using state-of-the-art LLM technologies. The ideal candidate will have a strong background in AI and NLP, with hands-on experience in building and optimizing LLM-based systems. This role requires expertise in integrating LLM solutions via APIs with both third-party tools and in-house applications. Experience with AWS Bedrock is highly valued, and familiarity with microservices architecture in cloud environments is a significant plus.
Primary Responsibilities:
Design and implement RAG (Retrieval-Augmented Generation) systems
Integrate and optimize Large Language Models (LLMs) via APIs
Develop efficient information retrieval and extraction systems
Build and manage databases and vector stores
Apply Natural Language Processing (NLP) techniques
Monitor performance and continuously improve systems
Integrate LLM solutions with other third-party tools and in-house applications
Design and implement APIs for seamless integration of LLM capabilities
Salary: 100K-110K a year
Share this job
Useful Links