Hybrid GenAI Prompt Architect | RAG & Tooling Expert

Moonfire; Texas; Hybride; USD 120 000 - 170 000; Plein temps

Résumé du poste

Moonfire is seeking an AI Prompt Engineer in Irving, TX for a hybrid, full-time role. You will design and optimize prompts, manage context windows, and implement GenAI workflows across OpenAI, Gemini, and Claude APIs.

Proficiency with LangChain/LlamaIndex, knowledge graphs, and tool integration is essential to deliver scalable, compliant GenAI solutions. The role emphasizes clear technical communication, Python scripting, and collaboration with data teams to refine prompts and ensure robust

Qualifications

• Understanding of tokenization, context windows, and APIs (such as OpenAI, Anthropic, or Azure OpenAI). Python for GenAI, data preprocessing, and scripting.
• Foundation models, LLMs, tokenization, embeddings, and context windows.
• Hands-on prompt/context engineering and practical RAG experience.
• Knowledge graphs and Graph RAG concepts.
• Exposure to agentic AI, tool-using agents, multi-step workflows, and frameworks such as ADK, LangGraph, CrewAI, or the OpenAI Agents SDK.
• Awareness of tool/function calling, MCP, A2A, agent harness, memory, and guardrails.
• Experience with GenAI APIs such as OpenAI, Gemini, and Claude; orchestration frameworks such as LangChain or LlamaIndex; Docker, Git, and AI compliance/privacy principles.
• Communication & Linguistics: clear writing and phrasing.
• Technical Skills: Python/SQL or software workflow knowledge.

Connaissances

LLM Familiarity

GenAI Concepts

Prompt Engineering

Knowledge Graphs

Agentic AI

APIs & Orchestration

Tool Use & Guardrails

GenAI APIs

Communication Skills

Python Basics

Outils

LangChain

LlamaIndex

LangGraph

OpenAI SDK

Docker

Git

Description du poste

Moonfire is seeking an AI Prompt Engineer in Irving, TX for a hybrid, full-time role. You will design and optimize prompts, manage context windows, and implement GenAI workflows across OpenAI, Gemini, and Claude APIs.

Proficiency with LangChain/LlamaIndex, knowledge graphs, and tool integration is essential to deliver scalable, compliant GenAI solutions. The role emphasizes clear technical communication, Python scripting, and collaboration with data teams to refine prompts and ensure robust