AI agents (e.g., using LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through...
You Stand Out: Hands-on experience building AI agents (e.g., using LangGraph or LlamaIndex), implementing RAG over enterprise...
inference. Implement vector search integrations (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG). Data... with LLM fine-tuning, embeddings, and RAG pipelines. Knowledge of MLOps practices (Kubeflow, MLflow, Vertex AI, SageMaker...
such as Anthropic (Claude), OpenAI, and open‑source models Retrieval‑Augmented Generation (RAG) using vector databases (e.g...
production-grade RAG systems Knowledge of embedding models and NLP similarity/search systems Familiarity with designing...
, including RAG pipelines and agent-based workflows. Develop and maintain Python-based backend services exposing AI capabilities...-on experience building LLM-based applications, including RAG architectures. Solid understanding of backend systems, APIs...
English and Spanish Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications...
for sales and technical support use cases Implement retrieval-augmented generation (RAG) using embeddings, vector search... AI and Google Vertex AI Experience with embeddings, vector databases, and RAG architectures Manufacturing or industrial domain...
Familiarity with GenAI application architectures (RAG, agents, prompt orchestration, API-based LLM usage) Experience...
Architecture: Build and maintain scalable, high-performance backend services using Python to support AI-driven features. RAG... Implementation: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware...