and scale RAG pipelines, conversational AI, and multi-agent systems to solve complex client challenges. Partner with senior...
-based analytics, simulation modeling, RAG for knowledge discovery). Collaborate with ML engineers to scale prototypes...
Job Title: AI Engineer Agentic & RAG Systems Location: Remote Department: AI & Data Platforms Compensation: Up...-to-end from concept to production. You'll work on multi-agent orchestration, Retrieval-Augmented Generation (RAG), evaluation...
Generation (RAG) based solutions for enhanced contextual understanding and factual accuracy. Scalable Infrastructure & MLOps...
Generation (RAG) and prompt engineering Lead the implementation of intelligent autonomous agents and multi-agent systems capable...
, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch Experience with natural...
in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced...
of what's possible with LLMs and agents. Solid understanding and experience in designing solutions with LLMs, AI agents, MCP server, RAG, vector...
understanding of LLMs, Generative AI, Agentic concepts Experience evaluating and implementing RAG and Fine-Tuning solutions...
, RAG systems, or ML engineering Background in media, publishing, or other mission-driven organizations Exposure to UX...
agentic AI workflows, RAG, or data fusion for insight delivery. · Excellent written and verbal communication skills...
agentic AI workflows, RAG, or data fusion for insight delivery. · Excellent written and verbal communication skills...
), retrieval-augmented generation (RAG), and agentic systems can transform how MSCI designs, evaluates, and communicates index... advanced AI systems leveraging LLMs, RAG, and agentic architectures to enhance index research, methodology interpretation...
how large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems can transform how MSCI designs... capabilities. Your Key Ressponsibilities: Design and develop advanced AI systems leveraging LLMs, RAG, and agentic architectures...
and frameworks for LLM integration (e.g., OpenAI API, Azure OpenAI, LangChain, RAG pipelines) No-code/low-code platforms...
for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG...
across systems Co-lead the design of our internal AI MCP (Model Control Plane) matrix, defining how multiple AI models (LLMs, RAG...
for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG...
AI-Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration. Accelerate Delivery...: Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG...
, scheduling/eventing, Secrets Manager). Hands-on delivery of AI-/LLM-backed features or workflow — for example RAG, semantic... with Slack and Company (REST/Bulk APIs, object model, upserts). Familiarity with vector databases / search technologies and RAG...