AI Prompt Engineer / Agentic AI Engineer
At CONFISA INTERNATIONAL GROUP · USA, US, United States
- Data and ML
- Full-time
Where you can work from
Open to the United States
“USA, US, United States”
From the location.
“Location: Major US hub (eg, New York, Bay Area, Dallas, Chicago – flexible for the right candidate).”
From the job description.
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- Posted
- 9 October 2026
- First seen by us
- 15 October 2026
- Last checked
- 10 hours ago
Job description
From CONFISA INTERNATIONAL GROUP’s job post, as they wrote it.
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).
Read the full description
* 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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