Prompt Engineering Jobs in Arizona (NOW HIRING)

Experience with Generative AI and prompt engineering. Experience with LangGraph, RAG, or MCP integrations. CI/CD pipelines and containerized deployments. Strong attention to detail and commitment to ...

LangChain/CrewAI/AutoGen (anyone), LangGraph, RAG, LLM basics, evals for AI observability, NLP/deep learning/transformer fundamentals and Prompt Engineering Skills. 7. SRE Core: SLA, SLI/SLO, alert ...

Design and implement AIforward capabilities, including Prompt Engineering, MCP, and RAGbased patterns, under established architectural guidance to improve automation, decisioning, and developer ...

Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts. * Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks. * Conceptual ...

LangChain/CrewAI/AutoGen (anyone), LangGraph, RAG, LLM basics, evals for AI observability, NLP/deep learning/transformer fundamentals and Prompt Engineering Skills. 7. SRE Core: SLA, SLI/SLO, alert ...

RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex ...

Apply AIforward engineering practices, including Prompt Engineering, MCP, and RAGbased patterns, to improve automation, solution quality, and developer productivity within Lending solutions. * Design ...

... prompt engineering techniques for reliability and performance Agentic AI & Evaluation Build and deploy multi-agent orchestration systems Develop and implement: Agent evaluation frameworks RAG ...

Create prompt engineering strategies, retrieval methods, and evaluation approaches that improve AI response quality and accuracy. * Monitor, test, and improve AI agent performance through feedback ...

Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts. Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks. Conceptual ...

Design and implement AI-forward capabilities, including Prompt Engineering, MCP, and RAG-based patterns, under established architectural guidance to improve automation, decisioning, and developer ...

Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

This individual does not require a software development background but must demonstrate strong capability in prompt engineering, AI tool configuration, and translating AI outputs into practical sales ...

Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

Design and implement RAG pipelines, prompt engineering frameworks, and AI evaluation mechanisms * Lead integration of AI solutions with enterprise platforms, APIs, and external systems * Establish ...

RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex ...

Apply AI-forward engineering practices, including Prompt Engineering, MCP, and RAG-based patterns, to improve automation, solution quality, and developer productivity within Lending solutions.

... • Prompt engineering • Understanding of RAG (Retrieval-Augmented Generation) • Understanding of Embeddings & vector databases • Experience with Spring AI / LangChain4j • Experience with ...

Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server within the Grafana ecosystem ...