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Open nowPosted 15 hours ago

AI Prompt Engineer / Agentic AI Engineer

CONFISA INTERNATIONAL GROUP2 open roles

Where
USA, US, United States, Remote
Work mode
Remote
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Your applicationOpen nowAI Prompt Engineer / Agentic AI EngineerCONFISA INTERNATIONAL GROUP · USA, US, United States, Remote
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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. CONFISA INTERNATIONAL GROUP postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted 15 hours ago

CONFISA INTERNATIONAL GROUP median: 6 days open

The posting

Job Description

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:

Role summary

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 agents and MCP-enabled workflows.
  • Contribute to architecture reviews, technical design documentation, and engineering best practices for AI platforms.

Required Skill

  • 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.

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

Additional Information

All your information will be kept confidential according to EEO guidelines.

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