AI Agents Job Market Trends

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Agentforce

70-140
Employers
Infinite
Growth

Agentforce is Salesforce's platform for building and deploying autonomous AI agents that support employees and customers 24/7. These agents are proactive applications equipped with specialized knowledge and capabilities, using large language models (LLMs) to analyze interactions and make decisions autonomously.

FlowiseAI

12-24
Employers
Infinite
Growth

A platform for building and deploying AI models, emphasizing ease of use and accessibility.

LangGraph

250-500
Employers
+9075%
Growth

A tool or library for visualizing and managing language model workflows, enhancing understanding and optimization.

Agentic

900-1.8K
Employers
+5446%
Growth

Agentic refers to AI systems or agents that possess the ability to act autonomously, making decisions and performing tasks without direct human intervention. These systems are designed to achieve specific goals by leveraging machine learning and decision-making algorithms.

CrewAI

100-200
Employers
+3300%
Growth

CrewAI is a Python framework designed for orchestrating role-playing, autonomous AI agents. It enables collaborative intelligence by allowing agents to work together seamlessly to tackle complex tasks.

AI Agent

1.25K-2.5K
Employers
+594%
Growth

An autonomous entity that uses artificial intelligence to perform tasks, make decisions, and interact with environments or users.

OpenAI Swarm

12-24
Employers
+260%
Growth

OpenAI Swarm is an experimental framework designed for developing multi-agent systems. It provides a stateless abstraction for managing interactions and handoffs between multiple agents, allowing for dynamic and flexible orchestration.

Amazon Bedrock

600-1.2K
Employers
+189%
Growth

A service offering foundational models for generative AI application building. Simplifies integration and deployment of machine learning applications at scale.

AutoGen

150-300
Employers
+135%
Growth

AutoGen is a framework designed to facilitate the creation of complex AI applications by enabling multiple large language models (LLMs) to collaborate as agents. It allows developers to define workflows where these agents can interact, share information, and work together to solve intricate tasks.