American Express expense platform. Focus on RAG (Retrieval-Augmented Generation) implementations, fine-tuning models.... Strong applied experience with LLMs, RAG, fine-tuning, embeddings, and inference workloads. Hands-on experience building production...
) Production AI systems and observability challenges (prompting, context windows, RAG, hallucinations, provider variability..., LlamaIndex), RAG/vector search concepts, and enterprise integration considerations. Experience with DevOps/Platform Engineering...
, including an understanding of LLMs, agentic AI, and Retrieval-Augmented Generation (RAG) - Experience working with design...
in microservices, DevOps, cloud, and security Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey...
quality across all systems, ensuring accuracy, completeness, and compliance with PMO standards, RAG criteria, governance...
for downstream systems Deploy and monitor AI models in production environments Collaborate with ML engineers on fine-tuning, RAG...
-of-thought, retrieval-augmented generation (RAG), and tool-augmented reasoning to maximize agent reliability and accuracy... building production-grade AI/ML services with clean, well-documented, testable code. Solid understanding of RAG architectures...
You Stand Out: AI/ML Expertise: Hands-on experience with LLM/RAG (Retrieval-Augmented Generation), semantic search, NLP...
. This includes building the conversational UI, implementing a robust Tool Manager for RAG against the food and user databases... with AI orchestration frameworks (e.g., LangChain, CrewAI, or building custom agentic logic). - They have a strong understanding of RAG...
generation (RAG) applications and LLM-powered solutions using vector databases and orchestration frameworks to enhance data..., and clean code practices 1+ years hands-on experience building and deploying LLM-based applications, including RAG...