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AI Developer _ Vector Database & Generative AI

Centraprise Corp

Pennington, New Jersey • Today

Easy Apply

Full-time

100,000 - 130,000

Job Details

Skills

AI Developer
Vector
Generative AI

Summary

Roles & Responsibilities

Highly skilled AI Developer with hands-on expertise in Vector Databases, strong knowledge of AI Models and Large Language Models (LLMs), and proficiency in Visual Studio Code (VS Code). The candidate will design, develop, and optimize AI-powered applications, build Retrieval-Augmented Generation (RAG) solutions, manage vector-based data retrieval systems, and integrate AI models with enterprise applications.

Key Responsibilities

Design and implement vector database solutions for semantic search and AI applications.
Develop RAG-based architectures using LLMs and embedding models.
Integrate AI models with enterprise systems and data sources.
Optimize vector indexing, retrieval performance, and AI response quality.
Collaborate with cross-functional teams to build scalable AI-driven solutions.
Perform testing, monitoring, and continuous improvement of AI applications.

Technical/Functional Skills

Primary Skill: Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB, Azure AI Search), Retrieval Augmented Generation (RAG), Embedding Models and Semantic Search, Prompt Engineering, Visual Studio
Code (VS Code), API Integration and AI Application Development, Generative AI and Large Language Models (GPT, Llama, Claude, Gemini)
Secondary: Python, JavaScript, TypeScript, AI Governance, Responsible AI, and Security, Git, GitHub, Microsoft 365 Ecosystem

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10530321
Position Id: 9113369
Posted 6 hours ago

Fitment

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Amit Singh

Recruiter @ Centraprise Corp

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Job Details

Skills

AI Developer
Vector
Generative AI

Summary

Roles & Responsibilities

Key Responsibilities

Design and implement vector database solutions for semantic search and AI applications.
Develop RAG-based architectures using LLMs and embedding models.
Integrate AI models with enterprise systems and data sources.
Optimize vector indexing, retrieval performance, and AI response quality.
Collaborate with cross-functional teams to build scalable AI-driven solutions.
Perform testing, monitoring, and continuous improvement of AI applications.

Technical/Functional Skills

Primary Skill: Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB, Azure AI Search), Retrieval Augmented Generation (RAG), Embedding Models and Semantic Search, Prompt Engineering, Visual Studio
Code (VS Code), API Integration and AI Application Development, Generative AI and Large Language Models (GPT, Llama, Claude, Gemini)
Secondary: Python, JavaScript, TypeScript, AI Governance, Responsible AI, and Security, Git, GitHub, Microsoft 365 Ecosystem

Dice Id: 10530321
Position Id: 9113369
Posted 6 hours ago

Fitment