-as-code (Terraform), containerization (Docker/Kubernetes) Develop AI/ML solutions—implement GraphRAG pipelines, RAG... environments Highly Desired (What Makes You Stand Out) AI/ML production experience—especially with LLMs, RAG architectures...
-functional requirements, including acceptance criteria, suitable for software development and AI or RAG-based systems... for AI or RAG-based systems. Familiarity with data center environments or industrial domains, particularly power management...
, RAG pipelines) Knowledge of dbt, Spark, or data processing pipelines Experience with MongoDB or other NoSQL databases...
(RAG), Power BI, and Tableau is a plus. Create and maintain automation scripts for data extraction, transformation... with GenAI, ChatGPT API integration, and working knowledge of large language models (LLM) and retrieval-augmented generation (RAG...
training, validation, and production deployment. Practical expertise in Generative AI and RAG systems, including embeddings... and services to extend system capabilities. Retrieval & Embeddings Build effective RAG systems: chunking strategies, embedding...
training, validation, and production deployment. Practical expertise in Generative AI and RAG systems, including embeddings... and services to extend system capabilities. Retrieval & Embeddings Build effective RAG systems: chunking strategies, embedding...
AI tools and technologies (e.g., AI Agents, Retrieval Augmented Generation [RAG], Model context protocol [MCP], Large Language...
SDK, LangGraph, or equivalent agent orchestration toolsets. RAG Systems: Experience implementing Retrieval-Augmented... frameworks such as OpenAI Agent SDK or LangGraph. Build RAG workflows including embeddings, indexing, and hybrid search. III...
: Implement RAG systems with embeddings, vector stores, and Gemini, integrating structured and unstructured data. Document... Generative AI & MLOps: Hands-on with Vertex AI (Fine-tuning, Prompt Management, Model Registry). RAG implementation, embeddings...
across industries. What You'll Do Design and implement RAG (retrieval-augmented generation) pipelines for agent memory and knowledge...