Vector Ai Jobs in Georgia (NOW HIRING)

Role: Data Scientist / AI Engineer (LLM & Agentic AI) Location: Atalanta, GA Duration: Contract ... Knowledge of RAG, prompt engineering, vector DBs

Vector Databases * FastAPI * AWS / Azure / GCP Required Skills: * 6-8 years of software development experience with at least 2+ years in Generative AI. * Strong programming experience in Python.

Data & Vector Search Engineering * Build data pipelines for indexing, embeddings, and retrieval ... Deploy AI services using Docker, container orchestration, and cloud environments. * Implement ...

Build AI solutions using LangChain, LangGraph, vector databases, prompt engineering, and AI orchestration frameworks. * Define enterprise AI governance, security, compliance, and Responsible AI best ...

We're looking for an AI Engineer to design and deliver secure, scalable applications that bring ... In this role, you'll apply technologies like LLMs, RAG, vector search, and agentic workflows to ...

In this role,you'llapply technologies like LLMs, RAG, vector search, and agentic workflows to ... Design and build AI-powered applications that use LLMs to improve user workflows, search ...

Proficiency with Vertex AI Vector Search (formerly Matching Engine) and embedding strategies for large-scale semantic search.  Data Flow: Skill in building scalable pipelines using Dataflow or ...

Vector Databases : Proficiency in using vector databases and Retrieval-Augmented Generation (RAG) techniques to ground AI models with external data and prevent hallucinations. APIs and Integrations:

Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, * prompt engineering, grounding, and hallucination mitigation. * Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory ...

Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, * prompt engineering, grounding, and hallucination mitigation. * Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory ...

Create and manage Vector Embeddings and hybrid search pipelines within Snowflake to support enterprise RAG architectures. * Utilize AI-assisted coding tools (e.g., GitHub Copilot, Cursor) to automate ...

Define the enterprise strategy for Vector Database integration, hybrid search, and RAG architectural patterns. * Establish AI-era data governance, ensuring privacy, auditability, and role-based ...

... vector databases • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain • Integrate AI systems with APIs, backend services, and cloud platforms • ...

Develop and integrate AI/ML and LLM-based solutions-including RAG/GraphRAG architectures, vector embeddings, and semantic retrieval-to improve translation and localization quality. * Build and ...

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Develop and integrate AI/ML and LLM-based solutions-including RAG/GraphRAG architectures, vector embeddings, and semantic retrieval-to improve translation and localization quality. * Build and ...

AI/ML Engineer Location: Atlanta, GA Duration: Long Term Responsibilities * Design, build, and ... Vector Databases (Pinecone, FAISS, ChromaDB, Milvus) * LangChain or LlamaIndex * SQL and NoSQL ...

Integrate vector databases (e.g., PGVector) and LLM orchestration tools to support retrieval and ... Stay current with AI research and industry trends, and evaluate emerging tools and techniques for ...

Integrate vector databases (e.g., PGVector) and LLM orchestration tools to support retrieval and ... Stay current with AI research and industry trends, and evaluate emerging tools and techniques for ...