AI Prompt Engineer – Agentic AI Engineer

Job not on LinkedIn

🕒 October 9

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Confisa International Group is an international boutique executive search firm with over 39 years of experience in providing effective human resources solutions. The company specializes in global executive search, specialized recruitment services, executive talent representation, company performance enhancement, and investor search. Confisa's dedicated teams employ cooperative and competitive strategies to help clients succeed in specific markets by obtaining the necessary resources.

📋 Description

• Design, develop, and optimize prompts for Large Language Models to improve accuracy, reliability, and business outcomes • Build and configure Agentic AI solutions with planning, reasoning, memory, and multi-step task execution capabilities • Develop and integrate MCP tools for secure discovery and interaction with enterprise systems, APIs, and data sources • Design agent architectures, tool-calling frameworks, retrieval mechanisms, and context management strategies • Collaborate with product managers, architects, and engineering teams to translate business requirements into AI-driven solutions • Implement Retrieval-Augmented Generation, 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 MCP-enabled workflows • Contribute to architecture reviews, technical design documentation, and engineering best practices for AI platforms

🎯 Requirements

• Client-facing, hands-on engineering and solutioning experience • 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 • Hands-on 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 problem-solving, analytical, and collaboration skills • 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

🏖️ Benefits

• Employees can work remotely • Travel expected

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