Temporary Retrieval Augmented Generation Jobs in Georgia

Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...

Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...

Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...

Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques * Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Hands-on experience with Generative AI , LLMs , OpenAI , GPT , LangChain , and RAG (Retrieval-Augmented Generation) . * Experience with Vector Databases (Pinecone, FAISS, ChromaDB, or Milvus)

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...

Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures. * Experience with MLOps/LLMOps ...

... solutions, retrieval-augmented generation (RAG), knowledge graph technologies, and emerging agentic AI frameworks. The position also supports AI governance, model lifecycle management, and the ...

AI Product Management • Drive features related to Generative AI, Agentic AI, AI Gateways, AI Agents, MCP, and Retrieval-Augmented Generation (RAG). • Collaborate with AI engineers to define ...

Support implementation of Retrieval-Augmented Generation (RAG), enterprise knowledge management, and AI-powered search solutions. * Monitor program KPIs, adoption metrics, value realization, and ROI.

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...

This role will focus on building scalable, production-grade AI solutions-starting with projects involving Retrieval Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...

You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...

You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...

Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. Engineer authentication ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

... retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. • Engineer authentication, authorization, and identity controls for AI agents, service accounts ...

Retrieval-Augmented Generation (RAG): Implementing vector databases (e.g., Pinecone, FAISS) to allow models to access and reason. * Prompt Engineering: Refining and optimizing high-quality prompts to ...

Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma). * Strong problem-solving and analytical skills. * Excellent ...

Knowledge of Retrieval-Augmented Generation (RAG) architectures. * Experience evaluating AI systems using human and automated scoring methods. * Familiarity with vector databases and semantic search.