Ai Rag Jobs in Detroit, MI (NOW HIRING)

The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable ...

You will combine full-stack AI development with strong HR process, data, privacy, and governance ... Design and implement RAG pipelines: Build retrieval solutions over HR policies, job profiles ...

Design and implement RAG pipelines: Build retrieval solutions over HR policies, job profiles ... AI and GenAI foundations: Strong conceptual and practical understanding of LLMs, embeddings, RAG ...

We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ... Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for ...

We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ... Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for ...

Design and implement RAG pipelines: Build retrieval solutions over HR policies, job profiles ... Translate complex AI concepts for non‑technical HR stakeholders, document recommendations, share ...

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of ... Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for ...

Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...

Are you a passionate AI professional ready to transform the financial landscape with intelligent ... Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions ...

Agentic SQL retrieval, MCP integration, agentic tool use, as well as vector databases & RAG ... AI Evaluation & Production Readiness : defining evaluation methods, testing model behavior ...

Design and implement RAG pipelines over heterogeneous and often messy enterprise and supply chain ... Integrate AI solutions with enterprise applications and data platforms through APIs, events, batch ...

You are a hybrid architect developer who excels at translating complex AI concepts-such as Agentic workflows, orchestration patterns, and RAG architectures-into "Golden Path" reference ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Copilot, LLMs, RAG, Enterprise AI Platforms * Big Data: Apache Spark, Databricks * Cloud: AWS (SageMaker, EC2, S3), Azure Machine Learning, Azure Databricks * Databases: SQL, NoSQL * Visualization:

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) * Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based AI architectures ...

This is an AI engineering role focused on agent orchestration, tool-calling, RAG/context retrieval, evaluation, and safety guardrails-enabling autonomous planning, logistics, and operations decisions ...

Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) * Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based AI architectures ...

Implement retrieval-augmented generation (RAG) architectures using internal and external data ... Ensure responsible AI practices, including privacy, security, and bias mitigation * Rapidly ...