Agentic AI Prompt Engineer

SmartRecruiters, Inc.; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

SmartRecruiters, Inc. is seeking a hands-on, client-facing role focused on engineering and solutioning in AI-driven platforms.

The candidate will design, develop, and optimize prompts for LLMs, build agentic AI solutions with planning, memory, and tool integration, and enable autonomous reasoning across enterprise applications. The role requires strong Python/TypeScript skills, experience with frameworks like LangChain and Semantic Kernel, and the ability to collaborate with product teams to

Qualifications

• 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.

Responsibilities

• Design, develop, and optimize prompts for Large Language Models (LLMs) to improve accuracy, reliability, and business outcomes.

Skills

LLM experience

Prompt engineering

AI agent frameworks

Semantic Kernel

LangChain

LangGraph

AutoGen

CrewAI

MCP servers

API orchestration

Python

TypeScript

RAG architectures

Vector databases

Cloud platforms (Azure/OpenAI/AWS/GC)

Tools

Semantic Kernel

LangChain

LangGraph

AutoGen

CrewAI

Job description

SmartRecruiters, Inc. is seeking a hands-on, client-facing role focused on engineering and solutioning in AI-driven platforms.

The candidate will design, develop, and optimize prompts for LLMs, build agentic AI solutions with planning, memory, and tool integration, and enable autonomous reasoning across enterprise applications. The role requires strong Python/TypeScript skills, experience with frameworks like LangChain and Semantic Kernel, and the ability to collaborate with product teams to