Best AI tools for< Recruiting Coordinator >

LEVI AI Recruiting Software is a modern recruitment automation platform powered by artificial intelligence. It revolutionizes the candidate evaluation and selection process by using advanced AI recruitment tools. LEVI assists in making data-driven hiring decisions, matches candidates to job requirements, conducts independent interviews, generates comprehensive reports, integrates with hiring systems, and enables informed and efficient hiring decisions. The application unlocks the full potential of machine learning models, eliminates bias in the hiring process, and automates candidate screening. LEVI's AI-powered recruitment tools change how candidate evaluations are performed through automated resume screening, candidate sourcing, and AI interview assessments.

Sense Talent Engagement Platform is an AI-powered recruitment platform that offers a comprehensive suite of tools to streamline the hiring process. It provides automation workflows, database cleanup, interview scheduling, text messaging, mass texting, WhatsApp and SMS integration, mobile app support, candidate matching, AI chatbot, job matching, scheduling bot, smart FAQ, pre-screening, sourcing, live chat, instant apply, talent CRM, generative AI, voice AI, referrals, analytics, and more. The platform caters to various industries such as financial services, healthcare, logistics, manufacturing, retail, staffing, technology, and more, helping organizations attract, engage, and retain top talent efficiently.

CVViZ is a modern AI Recruiting Software that automates candidate sourcing, matches candidates to jobs, provides hiring insights, and enhances the quality of hire. It offers features like resume screening, applicant tracking system, recruitment CRM, candidate sourcing, resume parser integration, and employee referral. With AI technology, CVViZ simplifies the hiring process in three steps: posting jobs to multiple job sites, screening candidates using AI algorithms, and engaging and hiring the best candidates. It helps in finding the right candidates for the right job through AI-powered resume screening and automates workflows with recruitment automation. CVViZ also offers recruitment analytics, GDPR compliance, and video interviewing for a seamless hiring experience.

Nolea is an AI-powered healthcare talent discovery platform that revolutionizes healthcare recruiting by leveraging artificial intelligence to find, engage, and hire the best clinical talent faster than ever before. The platform offers features such as AI-powered clinical search, healthcare-specific outreach, clinical talent insights, AI chat assistant, profile evaluation, email outreach, and more. Nolea helps healthcare organizations make data-driven decisions, engage with candidates 24/7, and transform their recruiting process with personalized and efficient workflows.

Novius is an AI-powered recruitment automation tool that revolutionizes the recruiting process by helping users find the perfect candidates faster, easier, and smarter. It offers features such as AI-driven job description writing, intelligent candidate search, personalized email sequences, integrated meeting scheduling, and automated assessments. Novius streamlines the recruitment process, improves the quality of hires, and enhances candidate engagement through advanced AI algorithms and personalized communication.

Interviewer is an AI tool designed for high-volume recruiting, offering end-to-end interview automation with human-like voice interviews. It provides instant interview transcription and summaries, unique session links for each candidate, real-time analytics, and dynamic follow-up questions. The tool personalizes the interview process to the company and role, integrates with existing systems, and offers instant scoring and explanations. Interviewer helps organizations screen more candidates efficiently and cost-effectively.

Arya by Leoforce is an AI recruitment software powered by ML technology. It offers advanced AI capabilities to source, screen, rank, and engage high-quality candidates faster. Arya empowers recruiters to focus on building meaningful candidate connections by going beyond simple keyword matching. It provides comprehensive talent sourcing and engagement capabilities, driving measurable improvements to candidate quality and reducing time to submit. Arya also enhances engagement and the candidate experience by providing access to new and updated candidate information daily, a 24/7 AI recruiting assistant, and a centralized multi-channel communication dashboard.

Arya by Leoforce is an AI recruitment software powered by ML technology. It offers AI recruiting automation, integrations with applicant tracking systems, multi-channel candidate sourcing, resume search, direct sourcing, talent intelligence, talent matching, candidate ranking, diversity recruiting, candidate experience, and engagement. Arya assists in high volume hiring needs, specialized hiring needs, and provides solutions tailored to various industries such as staffing, technology, healthcare, logistics, banking, and finance. It is designed to enhance the recruitment process by automating and optimizing activities, saving time and improving hiring outcomes.

Skima is a recruitment AI and talent intelligence platform that aims to revolutionize the recruitment process by leveraging AI technology to help recruiters find the perfect candidates quickly and efficiently. The platform offers features such as AI-powered candidate assessment, seamless ATS integration, and smart job description generation to streamline the hiring process and improve recruitment ROI. Skima enables recruiters to unlock valuable insights from candidate databases, diversify client reach, and identify talent based on client demands. With Skima, recruiters can save time, increase productivity, and make data-driven hiring decisions.

Mosaictrack is an AI-powered platform that revolutionizes the recruitment process by leveraging artificial intelligence to match candidates with suitable job opportunities. The platform offers a range of products and features, including diversity enhancement, chatbot engagement, and machine learning-based recruiting. Mosaictrack aims to streamline the hiring process, reduce bias, and improve candidate experience through innovative AI technologies.

Senseloaf Platform is an AI-powered platform designed to streamline the recruiting process by offering features such as Dynamic Matching, Conversational AI, Talent Discovery, and Resume Parser. It aims to provide a seamless and efficient experience for both recruiters and candidates, leveraging AI technology to personalize engagement, accelerate hiring productivity, and make insightful decisions. The platform offers end-to-end automation for recruiting teams, enabling them to consolidate, configure, automate, and control the recruitment process. With a focus on intelligent recruiting, Senseloaf Platform helps recruiters engage with top candidates, personalize candidate engagement, and boost hiring productivity with intelligence.

Celential.ai is an AI recruiting tool that leverages AI technology to streamline the recruitment process for technical, sales, and diversity hiring. The platform offers features such as hyper-personalized outreach, diversity hiring powered by AI, and deep technical recruiting expertise. Celential.ai helps companies scale their recruitment efforts efficiently by delivering strong pipelines of qualified candidates in a short time frame, resulting in significant cost savings compared to traditional sourcing methods.

ClearCompany is a leading recruiting and talent management software platform designed to optimize employee experience and HR initiatives for maximizing employee and company success. The platform offers solutions for applicant tracking, onboarding, employee engagement, performance management, analytics & reporting, and background checks. ClearCompany leverages automation, AI in HR, and workforce planning to streamline recruiting processes and enhance candidate experiences. The platform aims to build community, connect with employees, and promote inclusivity through talent management tools like employee surveys and peer recognition. ClearCompany provides pre-built reports and analytics to help interpret HR data and optimize talent management strategies.

TalentRecruit is an advanced Applicant Tracking System (ATS) software that leverages AI and Machine Learning to streamline the recruitment process. It offers features such as a 24x7 Virtual Recruitment Assistant, multi-channel sourcing, AI-driven hiring, employee referral platform, effective pre-screening and assessment, offer management, onboarding, campus recruitment automation, diversity and inclusion initiatives, and agile recruitment platform. The platform caters to various industries, including BFSI, and is designed for enterprises, SMBs, hiring managers, staffing agencies, and recruitment process outsourcing (RPO) agencies.

Honeit is an Interview Intelligence Platform designed for recruiting and hiring, offering a comprehensive suite of features to streamline the recruitment process. It provides tools for scheduling, screening, note-taking, call summaries, candidate presentations, submissions, and feedback, enabling recruiters to hire the right talent faster. Honeit leverages AI technology to automate various aspects of the recruitment process, such as scheduling, note-taking, candidate presentations, and feedback collection. The platform aims to enhance recruiter productivity, improve collaboration, and reduce unconscious interview bias, ultimately leading to more efficient and effective hiring decisions.

Holly is an AI tool designed for recruitment and staffing agencies to streamline their hiring processes. It automates candidate sourcing, engagement, and relationship-building, providing unprecedented insights and workflow automation features to help agencies make more placements per recruiter and expand their talent pool effortlessly.

Humanly is a Conversational AI platform designed for recruiting teams to streamline the hiring process at scale. The AI co-pilot assists with screening, scheduling, note-taking, and follow-up tasks, providing valuable insights to recruiters. Humanly aims to improve hiring outcomes, save time, and enhance candidate experience through automation and advanced analytics. The platform focuses on ethical AI practices, ensuring secure and explainable AI usage to avoid bias and negative outcomes. Humanly integrates with various HR tools and offers customizable chatbot experiences for engaging candidate interactions.

ExactBuyer is an AI-powered B2B customer and candidate acquisition platform that offers sales prospecting tools, recruiting solutions, and marketing services. The platform leverages AI to prioritize, analyze, score, and engage customers with value-driven messaging. ExactBuyer enriches CRM contacts with over 115+ attributes, provides real-time audience building, and offers AI-driven APIs for target audience maintenance. The platform enables users to personalize emails, launch data-backed campaigns, and streamline talent discovery. ExactBuyer also provides deep insights, integrations, and smart recommendations to optimize outreach strategies and maximize engagement results.

Swiftly AI is an AI-powered recruiting tool designed to streamline the candidate selection process for businesses. By leveraging artificial intelligence, Swiftly AI helps recruiters quickly identify and rank qualified candidates based on specified role requirements. The platform enables users to efficiently filter through a large pool of applicants, saving time and resources in the recruitment process. With Swiftly AI, companies can accelerate their talent search and make data-driven hiring decisions to recruit the most suitable candidates at scale.

Applicant AI is an applicant tracking and recruiting software powered by AI (ATS). It helps companies streamline their hiring process by using AI to screen and evaluate job applicants, saving time and improving the quality of hires. The tool offers features such as AI-powered applicant screening, custom instructions for evaluating applicants, automatic rejection emails, and integration with existing ATS platforms. Applicant AI is compliant with EU AI regulations and aims to assist rather than replace human decision-making in the hiring process.

Vidur is an open-source next-gen Recruiting OS that offers an intuitive and modern interface for forward-thinking companies to efficiently manage their recruitment processes. It combines advanced candidate profiles, team workspace, plugins, and one-click apply features. The project is under active development, and contributors are welcome to join by addressing open issues. To ensure privacy, security issues should be reported via email to [email protected].

FastAgency is a powerful tool that leverages the AutoGen framework to quickly build applications with multi-agent workflows. It supports various interfaces like ConsoleUI and MesopUI, allowing users to create interactive applications. The tool enables defining workflows between agents, such as students and teachers, and summarizing conversations. FastAgency aims to expand its capabilities by integrating with additional agentic frameworks like CrewAI, providing more options for workflow definition and AI tool integration.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

db-ally is a library for creating natural language interfaces to data sources. It allows developers to outline specific use cases for a large language model (LLM) to handle, detailing the desired data format and the possible operations to fetch this data. db-ally effectively shields the complexity of the underlying data source from the model, presenting only the essential information needed for solving the specific use cases. Instead of generating arbitrary SQL, the model is asked to generate responses in a simplified query language.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

This repository contains the source code for the SIGIR 2023 paper 'Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited'. It provides resources for evaluating foundation, transferable, multi-modal, and LLM recommendation models, along with datasets, pre-trained models, and training strategies for IDRec and MoRec using in-batch debiased cross-entropy loss. The repository also offers large-scale datasets, code for SASRec with in-batch debias cross-entropy loss, and information on joining the lab for research opportunities.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

The Prompt Engineering Holy Grail repository is a curated resource for prompt engineering enthusiasts, providing essential resources, tools, templates, and best practices to support learning and working in prompt engineering. It covers a wide range of topics related to prompt engineering, from beginner fundamentals to advanced techniques, and includes sections on learning resources, online courses, books, prompt generation tools, prompt management platforms, prompt testing and experimentation, prompt crafting libraries, prompt libraries and datasets, prompt engineering communities, freelance and job opportunities, contributing guidelines, code of conduct, support for the project, and contact information.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

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