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Technology Trends in Jobs 2024:

These job categories are experiencing massive growth this year!

LangGraph

+4650%
Growth

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

Agentic

+2173%
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.

AI Agent

+240%
Growth

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

vLLM

+228%
Growth

A library designed for accelerated AI model inference utilizing advanced techniques for efficiency. It enhances large language models' performance on modern hardware architectures.

Forward Deployed AI Engineer

+156%
Growth

Deploys and integrates AI solutions directly with clients, working on-site to ensure successful implementation and customization.

Claude (AI)

+154%
Growth

Claude is an AI developed by Anthropic, designed to engage in human-like conversations while maintaining ethical considerations and transparency.

Hugging Face Transformers

+150%
Growth

An open-source library for natural language processing (NLP), providing pre-trained models and tools for building NLP applications.

TanStack

+137%
Growth

A collection of open-source libraries for building modern web applications, including tools for state management and data fetching.

Humanoid Robot

+122%
Growth

A robot resembling the human body in shape and design. Often used in research, entertainment, and assistive technologies to complement human-robot interaction.

AI Enhanced

+104%
Growth

AI-enhanced refers to systems, tools, or technologies that have been improved or augmented by artificial intelligence capabilities to increase performance, efficiency, and functionality.

Retrieval-augmented generation

+97%
Growth

Retrieval-Augmented Generation (RAG) is a technique in natural language processing (NLP) that enhances the accuracy and relevance of responses generated by large language models (LLMs). RAG works by combining the strengths of both retrieval-based models, which extract information from external sources, and generative models, which create original content.

Pydantic

+88%
Growth

A data validation library for Python popular for its ease of use and efficiency. It ensures data remains consistent and correct when utilized in applications.