AI Dev Jobs SDKs & Libraries: Python, Node.js, Go (2026)

SDKs overview

AI Dev Jobs provides Software Development Kits (SDKs) and libraries designed to facilitate programmatic interaction with its platform. These tools enable developers to integrate AI Dev Jobs functionalities, such as job listing retrieval, posting, and management, directly into their applications or workflows. The SDKs abstract the underlying API calls, handling authentication, request formatting, and response parsing, thereby simplifying development for various use cases, including custom job aggregators, automated posting systems, or data analysis tools focused on AI/ML employment trends.

The primary focus of the available SDKs is to provide structured access to the job board's core data. Developers can use these libraries to query job listings based on criteria like keywords, location, and seniority, as well as manage their own posted jobs. The design emphasizes ease of use for developers familiar with common programming paradigms and aims to reduce the boilerplate code typically associated with direct API consumption. While the official SDKs target specific languages, community-contributed libraries may extend support to additional environments or offer specialized functionalities.

Official SDKs by language

AI Dev Jobs maintains official SDKs for several popular programming languages, ensuring robust and well-supported integration pathways for developers. These SDKs are developed and managed by the AI Dev Jobs team, offering consistent updates and direct support channels. Each SDK is tailored to the idiomatic practices of its respective language, providing a native development experience.

These official SDKs are hosted on standard package repositories for each language, enabling straightforward dependency management and updates. For detailed documentation and API references for each SDK, developers should consult the official AI Dev Jobs API Reference.

Installation

Installing the AI Dev Jobs SDKs is typically performed using the package manager specific to the chosen programming language. This section provides the standard installation procedures for the officially supported SDKs.

Python SDK

The Python SDK is distributed via PyPI. To install it, use pip:

pip install aidevjobs-python

Ensure you have a supported Python version (typically 3.7 or newer) installed. After installation, you can import the library into your Python projects.

Node.js SDK

The Node.js SDK is available on npm. To add it to your project, use npm or yarn:

npm install @aidevjobs/node
# or
yarn add @aidevjobs/node

This will install the package and its dependencies into your node_modules directory, making it available for use in your JavaScript or TypeScript applications. Node.js applications often use package managers like npm, as detailed in npm's official documentation.

Go SDK

The Go SDK is typically installed using the Go module system. To add it to your project:

go get github.com/aidevjobs/go-sdk

This command fetches the module and adds it to your go.mod file. For more information on Go modules, refer to the official Go documentation on managing dependencies.

Quickstart example

This section provides a basic quickstart example demonstrating how to retrieve a list of AI/ML job postings using the Python SDK. This example assumes you have an API key, which is required for most programmatic interactions with the AI Dev Jobs platform. API keys can be generated and managed through your AI Dev Jobs dashboard settings.

Python Quickstart: Fetching Job Listings

First, ensure you have installed the aidevjobs-python package as described in the installation section.

import os
from aidevjobs_python import AIJobsClient

# Replace with your actual API key, or set it as an environment variable
# It's recommended to use environment variables for sensitive information
api_key = os.environ.get("AIDEVJOBS_API_KEY", "YOUR_AIDEVJOBS_API_KEY")

if api_key == "YOUR_AIDEVJOBS_API_KEY":
    print("Warning: Please replace 'YOUR_AIDEVJOBS_API_KEY' with your actual API key or set the AIDEVJOBS_API_KEY environment variable.")
    exit()

client = AIJobsClient(api_key=api_key)

try:
    # Fetch the first page of job listings
    print("Fetching AI/ML job listings...")
    jobs = client.jobs.list(page=1, limit=10, keywords="machine learning engineer")

    if jobs and jobs.data:
        print(f"Found {len(jobs.data)} jobs on page 1:")
        for job in jobs.data:
            print(f"- {job.title} at {job.company_name} ({job.location})")
            print(f"  URL: {job.url}")
    else:
        print("No jobs found matching the criteria.")

    # Example: Fetching a specific job by ID (assuming you have one)
    # job_id = "some_job_id_from_platform"
    # print(f"\nFetching job with ID: {job_id}")
    # specific_job = client.jobs.get(job_id)
    # if specific_job:
    #     print(f"Specific Job: {specific_job.title} at {specific_job.company_name}")
    # else:
    #     print(f"Job with ID {job_id} not found.")

except Exception as e:
    print(f"An error occurred: {e}")

This snippet initializes the client with your API key and then calls the list method on the jobs resource to retrieve a paginated list of job postings. The results are then iterated and printed to the console. For more advanced features, such as filtering, pagination, posting jobs, or managing developer profiles, refer to the comprehensive AI Dev Jobs API documentation.

Community libraries

Beyond the official SDKs, the AI Dev Jobs ecosystem benefits from community-driven libraries and integrations. These resources are developed and maintained by third-party developers and can offer specialized functionalities, support for additional programming languages, or integrations with other tools and platforms. While not officially supported by AI Dev Jobs, community libraries often provide valuable extensions and insights into diverse use cases.

As of late 2025, the community contributions primarily include:

• Rust Connector: A lightweight wrapper for the AI Dev Jobs API, offering type-safe access for Rust applications. This library is often found on GitHub under projects related to AI job data analysis.
• PHP Client: A basic PHP client library providing methods to interact with job listings, suitable for web applications built with frameworks like Laravel or Symfony.
• CLI Tools: Various command-line interface tools built by community members to quickly query job listings or post jobs from the terminal. These tools often wrap the official SDKs or make direct API calls.

Developers interested in community libraries should exercise due diligence by checking the project's activity, documentation, and licensing. Contributions to these projects are often welcomed, providing avenues for developers to extend the AI Dev Jobs ecosystem in new directions. For a current list of community projects, developers can often find discussions and links on AI Dev Jobs's community forum or relevant open-source repositories.