, and a passion for agentic AI systems and Retrieval-Augmented Generation (RAG) architectures. What You'll Do: Design... with product managers and stakeholders to translate business problems into technical specifications. Build and optimize RAG...
, RAG pipelines, prompt engineering, etc. 3+ years’ experience building LLM-based AI agent workflows via both no code/low...
effective prompts and RAG technologies to enhance solution capabilities. The ideal candidate will build user-facing...
techniques such as RAG and agent-based orchestration. Knowledge of privacy-preserving AI, including federated learning...
or similar. Familiarity with vector databases, RAG pipelines, and async programming. Experience with financial data and APIs..., semantic search, and RAG architectures. Proficiency with profiling tools and performance optimization. Track record...
generation (RAG) Familiarity with agent planning algorithms, goal decomposition, and task scheduling Understanding of AI safety...
, containerization, DevOps practices AI APIs, embeddings, RAG systems Experience with autonomous AI agents or experimentation...
, evaluation, RAG (Similarity Search). Ability to work on tasks and projects through to completion with limited supervision...
Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands...
and alignment across stakeholders. Drive RAG status updates for headline meetings, providing leadership with clear visibility...
, LLM tool utilization, Multi-turn Conversationality, Textual RAG systems Core ML/AI: DGL, GNNs, HuggingFace, LangGraph...
; implement RAG/search over internal docs; ensure freshness and observability. Make it reliable: Logging, metrics, alerts... business data, normalize, and sync to Postgres/Sheets with change detection + alerts. RAG for Sales/Success: Vectorize pitch...
Retrieval-Augmented Generation (RAG) pipelines. They are scaling their QA function to meet the demands of complex microservice...
; JavaScript / TypeScript, a plus). Hands-on experience with AI frameworks (LangChain, LlamaIndex, RAG pipelines, vector search... tools. Cloud infrastructure experience with Azure. Exposure to Retrieval-Augmented Generation (RAG), embeddings...
, AutoGen, or CrewAI. Develop and integrate agentic systems-using LLMs, RAG, and tool-use/function-calling frameworks...-to automate or accelerate complex tasks for end-users. - RAG: Deep, practical experience with the end-to-end RAG lifecycle...
with agentic workflows, Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Pinecone), and knowledge graphs...
direction in cutting-edge AI areas, including large language models (GPT), retrieval-augmented generation (RAG), and autonomous...
to implement a Retrieval-Augmented Generation (RAG) and Iterative Prompting pipeline integrated with Large Language Model (LLM...
, transformer, or retrieval-augmented generation (RAG) models in production. Understand MLOps, scalable infrastructure, model...
). Showcase hands-on expertise with LLMs: fine-tuning, evaluation, RAG pipelines, guardrails, and LLMOps best practices. Design...