AI Prompt Engineer – Agentic AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, enhance, and refine prompts for Large Language Models to boost accuracy, dependability, and business results.

• Develop and set up Agentic AI solutions featuring planning, reasoning, memory, and the ability to execute multi-step tasks.

• Design and integrate MCP tools for secure exploration and interaction with enterprise systems, APIs, and data sources.

• Craft agent architectures, frameworks for tool-calling, retrieval methods, and strategies for context management.

• Work alongside product managers, architects, and engineering teams to convert business needs into AI-driven solutions.

• Execute Retrieval-Augmented Generation, knowledge grounding, and context orchestration methodologies.

• Establish evaluation frameworks and testing methods for prompts to assess agent performance, quality, and reliability.

• Ensure that AI solutions comply with security, governance, compliance, and responsible AI standards.

• Assist in the deployment, monitoring, troubleshooting, and ongoing enhancement of AI agents and MCP-enabled workflows.

• Participate in architecture reviews, technical design documentation, and the establishment of engineering best practices for AI platforms.

⛳️ Requirements

• Hands-on engineering and solutioning experience in client-facing roles.

• Familiarity with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).

• Strong grasp of prompt engineering, AI agent frameworks, and conversational AI systems.

• Experience in creating Agentic AI applications using frameworks like Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar.

• Practical experience with MCP servers, tool integration, API orchestration, and connectivity to enterprise systems.

• Proficient in Python, TypeScript, or related programming languages.

• Knowledge of RAG architectures, vector databases, embeddings, and knowledge retrieval systems.

• Understanding of cloud platforms including Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI.

• Strong analytical, problem-solving, and collaboration abilities.

• Experience in developing enterprise copilots, AI assistants, or autonomous agent ecosystems.

• Awareness of AI governance, responsible AI practices, and security best practices.

• Experience in integrating AI agents with healthcare systems, health records, or regulated industry environments.

🏝️ Benefits

• Employees have the option to work remotely.

• Travel is anticipated.