applications powered by large language models (e.g., using agentic frameworks, rag, or similar techniques) Experience designing...
, RAG, autonomous agents and orchestration frameworks to drive innovation Deep understanding of statistical analysis...
expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems...-augmented generation (RAG), autonomous agents, and MLOps tailored for use cases like digital citizen services, student success...
), and grounding (RAG) services. Your contributions will yield more responsive and helpful experiences for customers. In addition...
-and modern practices such as LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG... with LLMs (pre-training and fine-tuning, including instruction tuning and LoRA/adapters), prompt engineering, RAG pipelines...
and contribute to the development of LLM-driven applications, including Retrieval-Augmented Generation (RAG) pipelines. Develop... Standard Time (PST) hours. Preferred Qualifications Experience in LLM application development or RAG (retrieval-augmented...
-Augmented Generation (RAG). MLOPs/Deployment. ML Pipelines, CI/CD, Domino, monitoring/Logging. Preferred Qualifications...
-on experience shipping GenAI products, with knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector...
, Anthropic, Gemini), prompt engineering, RAG (Pinecone/FAISS), and orchestration (LangChain, LlamaIndex, MCP) - Perform...
; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs...
in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and get...
tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Ability to work on tasks...
+ years of experience building Generative AI pipelines, e.g. with RAG (retrieval augmented generation). 2+ years...
, and a sense of belonging. The team builds advanced systems such as a RAG-based knowledge Q&A tool, agentic HR automation... tuning Proven expertise in RAG, CAG, KAG architectures, including advanced chunking strategies, hybrid search, and reranking...
to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation Define best practices for agent... generation (RAG), and fine-tuning LLMs. Experience with fine-tuning models including identifying and curating datasets as well...
with vector DBs (e.g., ElasticSearch, Pinecone, Weaviate, FAISS) and RAG pipelines for knowledge-augmented reasoning agents...
to design and lead the architecture for next-generation knowledge and RAG systems that enable reasoning-driven AI assistants... to deliver precise, contextually relevant answers at scale. This role focuses on advanced RAG pipelines leveraging ontologies...
understanding of agent-based simulation frameworks, Agentic RAG systems, prompt engineering, and evaluation best practices for LLMs...
at least one of the following: LLM application development Retrieval Augmented Generation (RAG) systems Preferred Qualifications...
, including RAG, LLMs, AI GPT Prompting 5-8 years of experience in SRE and troubleshooting of multiple systems including - cloud...