Role: Ai Prompt Engineer

Location: Irving, TX

Job Type: Hybrid

Job Role: Full Time

Common Qualifications & Skills

· AI & LLM Familiarity: Understanding of tokenization, context windows, and APIs (such as OpenAI, Anthropic, or Azure OpenAI). Python for GenAI, data preprocessing, and scripting.

· Core GenAI concepts: foundation models, LLMs, tokenization, embeddings, and context windows.

· Hands-on prompt/context engineering and practical RAG experience.

· Working knowledge of knowledge graphs and Graph RAG.

· 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: Strong command of syntax, writing, and clear logical phrasing.

· Technical Skills: Varying by role—some positions focus purely on writing and psychology, while technical roles require basic Python, SQL, or software workflow knowledge.