Prompt Engineer at CONFISA INTERNATIONAL GROUP

Posted on

United States
Remote

Industry: Information Technology and Services

Job Type: Full-time

Experience Level: Senior

Job Description

CONFISA International Group is hiring an AI Prompt Engineer / Agentic AI Engineer on a full-time 3-on, 3-off schedule. The remote United States role is client-facing and covers prompt design, agent workflows, and MCP-integrated tools from pre-sales through early delivery, with travel expected.

Responsibilities

  • Design, develop, and optimize prompts for large language models to improve accuracy, reliability, and business outcomes.
  • Build and configure agentic AI solutions that use planning, reasoning, memory, and multi-step task execution.
  • Develop and integrate Model Context Protocol tools so agents can discover and use enterprise systems, APIs, and data sources.
  • Design agent architectures, tool-calling frameworks, retrieval mechanisms, and context management strategies.
  • Implement retrieval-augmented generation, knowledge grounding, and context orchestration.
  • Define evaluation frameworks and prompt testing methods for agent performance, quality, and reliability.
  • Support deployment, monitoring, troubleshooting, and continuous improvement of agents and MCP-enabled workflows.
  • Contribute to architecture reviews, technical design documentation, and engineering practices for AI platforms.

Requirements

  • Experience with large language models such as OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent.
  • Strong understanding of prompt engineering, AI agent frameworks, and conversational AI systems.
  • Experience building agentic applications with 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 a similar language.
  • Familiarity with RAG architectures, vector databases, embeddings, and knowledge retrieval.
  • Understanding of cloud platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Preferred: experience building enterprise copilots, AI assistants, or autonomous agent systems.
  • Preferred: knowledge of AI governance, responsible AI, and security practices.
  • Preferred: experience integrating AI agents with healthcare, health records, or other regulated systems.
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