agents Experience with RAG, RLHF, vector databases, and cloud-native MLOps (AWS, GCP, Azure) Skilled in creating scalable..., memory orchestration, and RAG methodologies Rapidly prototype and harden AI solutions for production deployment Collaborate...
AI workflows, enabling use cases from RAG-based chatbots to recommendation engines to multimodal search...
-Augmented Generation (RAG) a plus Strong working knowledge of technologies relevant to building third party integrations...
enterprise guardrails for GenAI/ML (prompting, RAG, grounding, evaluation); partner with Model Risk, Privacy, and Controls...
(RAG) Vector search Agent-based workflows Model/tool orchestration Ability to integrate LLMs into cloud-native...
(RAG) Vector search Agent-based workflows Model/tool orchestration Ability to integrate LLMs into cloud-native...
. Collaborate with product and data science leaders to integrate RAG pipelines, vector databases, and retrieval-augmented systems..., RAG architecture, embeddings, knowledge graphs, and agentic AI frameworks Experience integrating AI with legal enterprise...
modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF...
, and fine-tuning. Familiarity with advanced AI frameworks and methodologies, including Retrieval-Augmented Generation (RAG...
, and firmwide tools for scalable, safe AI usage. Build foundational components such as vector stores, RAG pipelines, reusable.... Evaluate new techniques—RAG, multi-agent systems, long-context models, model-to-model orchestration—and determine...
You Stand Out: AI/ML Expertise: Hands-on experience with LLM/RAG (Retrieval-Augmented Generation), semantic search, NLP...
and message-based learning agents with evaluation loops and continuous monitoring. Architect AI pipelines (RAG, prompt..., OpenAI, Anthropic). Proven experience building and deploying production AI systems, including RAG and vector search...
: PostgreSQL Cloud & Infra: Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes ML/AI: LLMs, RAG, prompt engineering.... Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fine-tuning pipelines. Ensure front-end and back-end...
business challenges at scale. Key Responsibilities: Design and develop Generative AI applications, including RAG pipelines... with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures. Strong programming skills in Python (preferred...
, Cassandra, ClickHouse, Flink, etc. * Hands-on with AI agents, RAG, and durable workflows. * Proficient in Python...
engineering and RAG. Proven track record of building or scaling Solutions/Services teams at high-growth AI or SaaS companies...
or RAG systems with neural retrieval methods and deep learning models for NLP. Strong background in information retrieval... designing and implementing search or RAG systems: vector databases, retrieval strategies, document chunking, metadata filtering...
. You are looking for a predictable, 9-to-5 role. Required Skills & Experiences Experience with LLM/agent systems, evals, and prompt tooling; RAG...
context protocols (MCPs), LLMs, retrieval-augmented generation (RAG), and agentic workflows. Partner with security...
. Required Skills & Experiences Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs. Deep...