AI prompt Engineer

TECHAGI SOLUTIONS LLC; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

TECHAGI SOLUTIONS LLC is seeking an AI Prompt Engineer to design and optimize prompts for LLMs and build Agentic AI solutions with MCP-enabled workflows. The role covers planning, reasoning, tool integration, and secure enterprise interactions across systems.

You will work with Python/TypeScript, implement RAG and retrieval strategies, and collaborate with product and engineering teams to deliver AI-driven capabilities while upholding governance and security standards.

Qualifications

• Experience with LLMs (OpenAI, Azure OpenAI, etc.)
• Strong prompt engineering and AI agent frameworks
• Experience building Agentic AI apps with Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI
• Hands-on with MCP servers, tool integration, API orchestration
• Proficiency in Python or TypeScript
• Familiarity with RAG architectures, embeddings, knowledge retrieval
• Knowledge of Azure AI Foundry, Azure OpenAI, AWS Bedrock, Vertex AI
• Strong problem-solving and collaboration skills

Responsibilities

• Design, develop, and optimize prompts for LLMs to improve accuracy and outcomes
• Build and configure Agentic AI solutions with planning, reasoning, and multi-step execution
• Develop MCP tools enabling secure enterprise integration with systems and APIs
• Design agent architectures, tool-calling and context management
• Collaborate with product managers and engineers to translate requirements into AI solutions
• Implement Retrieval-Augmented Generation and knowledge grounding
• Define evaluation frameworks and prompt testing for agent performance
• Ensure solutions meet security, governance, and responsible AI standards
• Support deployment, monitoring, and continuous improvement of agents and workflows
• Contribute to architecture reviews and technical design documents

Skills

LLM experience

Prompt engineering

Agent frameworks

Conversational AI

Semantic Kernel

LangChain

LangGraph

AutoGen

CrewAI

Python

TypeScript

API orchestration

Enterprise connectivity

Vector databases

Embeddings

Knowledge retrieval

Azure AI Foundry

Azure OpenAI

AWS Bedrock

Vertex AI

Problem solving

Collaboration

Tools

MCP servers

Job description

AI Prompt Engineer / Agentic AI Engineer

Location: 100% Remote

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 AI agents 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 Skills

• 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.