is demonstrated product ownership rather than delivery only work Experience building with LLMs or AI agents, including LangChain, RAG...
. This role is pivotal in architecting end-to-end AI solutions—leveraging LLMs, RAG pipelines, vector databases, and Rust... and translate them intofunctional AI demoswithin 1–2 weeks;Integrate LLMs and AI services (e.g., APIs, vector databases, RAG...
with LLM application patterns, such as agents, prompt engineering, RAG Other Technical Skills Solid understanding...
, secure, and reliable pipelines.Contribute to the development of retrieval-augmented generation (RAG) architectures using...
. Job Description Contribute to the architecture and implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG...
(GDPR, CCPA). Nice to Have Experience with Lang Chain, RAG pipelines, or multimodal AI. Background in chatbots...
autonomous workflows, retrieval-augmented generation (RAG) pipelines, and enterprise-grade AI governance frameworks using cutting... advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization...
, and performance bottlenecks within the Graph RAG architecture.Master the Architecture: Develop an expert-level understanding... of the LLM lifecycle, vector databases, prompt engineering, and common failure modes of RAG(Retrieval-Augmented Generation...
, Lambda). - LLM Engineering & Prompting: Deep practical experience with prompt engineering, context/memory management, RAG...
Core, RAG, Vector Database, Azure OpenAI, FastAPI, Machine Learning, MLOps, Semantic Search, Backend Engineer. Core...