AI Prompt Engineer / Agentic AI 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

• Full-time

Job Description

Role Summary

• RoleType:Client-facing,hands-onengineering+solutioning(pre-salesthroughearlydelivery)
• Location:MajorUShub(e.g.,NewYork,BayArea,Dallas,Chicago-flexiblefortherightcandidate).TravelExpected.
• BusinessUnit:(EnterpriseAIPlatforms&AgenticSolutions).

AboutCompany:

Role summary

The resource will support the design, development, and delivery of AgenticAI solutions by creating, optimizing, and managingAIprompts, agent workflows, and MCP-integrated tools. The role will focus on enabling intelligentAIagents 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 AgenticAIsolutions that leverage planning, reasoning, memory, and multi-step task execution capabilities.
• Develop and integrate MCP (Model Context Protocol) tools, enablingAIagents 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, andengineering teams to translate business requirements intoAI-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.
• EnsureAIsolutions adhere to security, compliance, governance, and responsibleAIstandards.
• Support deployment, monitoring, troubleshooting, and continuous improvement ofAIagents and MCP-enabled workflows.
• Contribute to architecture reviews, technical design documentation, andengineering best practices forAIplatforms.

Required Skill

• Experience with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent).
• Strong understanding of promptengineering,AIagent frameworks, and conversationalAIsystems.
• Experience building AgenticAIapplications 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 AzureAIFoundry, Azure OpenAI, AWS Bedrock, or Google VertexAI.
• Strong problem-solving, analytical, and collaboration skills.

Preferred Qualifications

• Experience building enterprise copilots,AIassistants, or autonomous agent ecosystems.
• Knowledge ofAIgovernance, responsibleAI, and security best practices.
• Experience integratingAIagents 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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