AI Prompt Engineer Agentic AI Engineer
Location: Irving, TX (3 days office)
Job description
AI Prompt Engineer Agentic AI Engineer
Google Cloud Platform is Mandatory
Role Summary
The resource will support the design development and delivery of Agentic AIsolutions by creating optimizing and managing AI prompts agent workflows and MCPintegrated tools The role will focus on enabling intelligent AI agents capable of autonomous reasoning task orchestration tool utilization and workflow execution across enterprise applications
Key Responsibilities
Design develop and optimize prompts for Large Language Models LLMs to improve accuracy reliability and business outcomes
Build and configure Agentic AI solutions that leverage planning reasoning memory and multistep task execution capabilities
Develop and integrate MCP Model Context Protocol tools enabling AIagents to securely discover and interact with enterprise systems APIs and data sources
Design agent architectures toolcalling frameworks retrieval mechanisms and context management strategies
Collaborate with product managers architects and engineering teams to translate business requirements into AIdriven solutions
Implement RetrievalAugmented Generation RAG knowledge grounding and context orchestration patterns
Define evaluation frameworks and prompt testing methodologies to measure agent performance quality and reliability
Ensure AI solutions adhere to security compliance governance and responsible AI standards
Support deployment monitoring troubleshooting and continuous improvement of AI agents and MCPenabled workflows
Contribute to architecture reviews technical design documentation and engineering best practices for AI platforms
Required Skills
Experience with Large Language Models OpenAI Azure OpenAI Anthropic Gemini or equivalent
Strong understanding of prompt engineering AI agent frameworks and conversational AI systems
Experience building Agentic AI applications using Semantic Kernel LangChain LangGraph AutoGen CrewAI or similar frameworks
Handson experience with MCP servers tool integration API orchestration and enterprise system connectivity
Proficiency in Python TypeScript or similar programming languages
Familiarity with RAG architectures vector databases embeddings and knowledge retrieval systems
Understanding of cloud platforms such as Azure AI Foundry Azure OpenAI AWS Bedrock or Google Vertex AI
Strong problemsolving analytical and collaboration skills
Preferred Qualifications
Experience building enterprise copilots AI assistants or autonomous agent ecosystems
Knowledge of AI governance responsible AI and security best practices
Experience integrating AI agents with healthcare health records or regulated industry systems
Skills
Mandatory Skills : Google Cloud Platform Gemini, Google Cloud Platform Vertex AI, Prompt Engineering & RAG, Python API (for Langchain / Llamaindex), TypeScript
Good to Have Skills : Agentic Framework, Python AI, Vector Databases and Embedding
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