AI Prompt Engineer / Agentic AI Engineer

Company: CONFISA INTERNATIONAL GROUP

Location: USA, US, United States (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-09

About this role

AI Prompt Engineer / Agentic AI Engineer (3 ON, 3 Off)

Role Summary

  • **Role****Type:** Client-facing, hands-on engineering + solutioning (pre-sales through early delivery)
  • **Location:** Major US hub (e.g., New York, Bay Area, Dallas, Chicago – flexible for the right candidate). Travel Expected.
  • **Level:** Manager/Principal/Senior Principal
  • **Business****Unit:**  (Enterprise AI Platforms & Agentic Solutions).
  • **Reporting****to:**Artificial Intelligence Leader, North America.

About Company:

Rolesummary

The resource will support the design, development, and delivery of Agentic AI solutions by creating, optimizing, and managing AI prompts, agent workflows, and MCP-integrated 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 multi-step 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, 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 (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 ...

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