end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization... in commercial pharma, HEOR, RWE, and patient analytics. Hands-on expertise in GenAI (LLMs, RAG, multi-agent systems), causal...
processing, deep learning and generative AI, including LLMs, RAG, and AI agents, and a passion for staying at the forefront...
, architectures, and best practices for GenAI-powered applications, LLM prompt engineering, and RAG (Retrieval-Augmented Generation... with a focus on AI-driven solutions and optimizations. Volunteer for GenAI-focused backlog items, such as: RAG model...
AI, including LLMs, RAG, and AI agents and related areas. Familiarity with current research trends and open challenges in the field...
conventions, architectures, and best practices for GenAI-powered applications, LLM prompt engineering, and RAG (Retrieval..., such as: RAG model refinement Prompt engineering for better accuracy LLM evaluation and response optimization Participate...
include experience with retrieval-augmented generation (RAG), fine-tuning pre-trained LLMs, AI model evaluation, data pipeline..., and implement Retrieval-Augmented Generation (RAG) techniques to enhance AI-powered document retrieval and classification, agentic...
with platform teams to scale internal AI infrastructure (OpenWebUI, RAG, LLM gateways) Collaborate with SaaS leadership...
, and classification pipelines across structured and semi-structured data sources (e.g., Excel, JSON). Implement RAG (Retrieval-Augmented...
AI (RHOAI) Develop and optimize retrieval-augmented generation (RAG) pipelines Drive end-to-end execution of small-scale..., large language models (LLMs), Retrieval Augmented Generation (RAG) paradigms, vector databases, and LLM orchestration tool...
or search tools. Create robust search capabilities to handle AI use cases (RAG, semantic search, hybrid search). Deploy...
, LLMs, RAG, MCP, scalable AI architectures and develop solutions at the forefront of modern artificial intelligence...) with familiarity in AI technologies and frameworks (e.g., prompt engineering, RAG, embeddings along with more recent innovations...
, LLMs, RAG, MCP, scalable AI architectures and develop solutions at the forefront of modern artificial intelligence... of recent AI developments (e.g., MCP, A2A, etc.) is desirable. Hands-on experience with prompt engineering, RAG, embeddings...
AI frameworks, LLMs, RAG, MCP, scalable AI architectures and develop solutions at the forefront of modern artificial intelligence... integration, RAG pipelines (vector databases/search), and prompt engineering. Hands-on experience with front-end and back-end...
, and Retrieval-Augmented Generation (RAG) systems, in production settings Deep understanding of data modeling, system architectures... connexes, y compris les frameworks, les modèles d'intégration, les bases de données vectorielles et les systèmes RAG (Retrieval...
pipeline, model orchestration, feature store) Experience building RAG and agentic AI systems Why You will Love Working...
, and Retrieval-Augmented Generation (RAG) systems, in production settings Deep understanding of data modeling, system architectures...
AI applications, and RAG systems to join our AI innovation team. The successful candidate will design, develop, and deploy cutting... RAG pipelines using structured and unstructured enterprise data (documents, databases, APIs). Integrate LLMs...
-based workflows (e.g., OpenAI APIs, LangChain, vector databases for RAG, AI-driven automation). 10% Contributions to the... in AI use case discussions, including LLM fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and AI-based...