AI Recruiting Agent
🤖
5
Bias-aware RAG AI recruiting agent with hallucination checks
Arjun Singh PRO
19arjun89
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Recent Activity
updated
a Space
about 21 hours ago
19arjun89/AI_Recruiting_Agent
updated
a dataset
about 22 hours ago
19arjun89/ai_recruiting_agent_usage
posted
an
update
3 days ago
🔄 Update: One-Click Demo Mode Added to AI Recruiting Agent
I’ve added a one-click demo mode to the Candidate Assessment tab of my Hugging Face Space: AI Recruiting Agent.
👉 https://huggingface.co/spaces/19arjun89/AI_Recruiting_Agent
🚀 What’s new
You can now experience the full recruiting workflow end-to-end with a single click, without uploading any files.
The One-Click Demo automatically:
Clears any existing vector data
Loads sample company culture documentation
Loads a sample candidate resume
Loads a sample job description
Runs the full candidate evaluation pipeline
All using sample documents included directly in the Space repo.
🧪 What the demo showcases
Skills match analysis
Culture fit evaluation
Final hiring recommendation
Hallucination verification & self-correction
Bias audit (pedigree bias, subjective language, non-traditional paths)
This makes it much easier for first-time users, reviewers, and evaluators to understand what the system does and how responsible AI safeguards are applied—without setup friction.
🛡️ Responsible by design
The demo uses the same safeguards as real usage:
Resume anonymization (no PII in embeddings or prompts)
Fact verification against source documents
Bias audit chain surfaced to the user
Human-in-the-loop framing (decision support, not automation)
If you’re exploring AI-assisted hiring workflows or interested in transparent, bias-aware evaluation pipelines, I’d love feedback.
Organizations
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updated
a
Space
about 21 hours ago
updated
a
dataset
about 22 hours ago
posted
an
update
3 days ago
Post
89
🔄 Update: One-Click Demo Mode Added to AI Recruiting Agent
I’ve added a one-click demo mode to the Candidate Assessment tab of my Hugging Face Space: AI Recruiting Agent.
👉 19arjun89/AI_Recruiting_Agent
🚀 What’s new
You can now experience the full recruiting workflow end-to-end with a single click, without uploading any files.
The One-Click Demo automatically:
Clears any existing vector data
Loads sample company culture documentation
Loads a sample candidate resume
Loads a sample job description
Runs the full candidate evaluation pipeline
All using sample documents included directly in the Space repo.
🧪 What the demo showcases
Skills match analysis
Culture fit evaluation
Final hiring recommendation
Hallucination verification & self-correction
Bias audit (pedigree bias, subjective language, non-traditional paths)
This makes it much easier for first-time users, reviewers, and evaluators to understand what the system does and how responsible AI safeguards are applied—without setup friction.
🛡️ Responsible by design
The demo uses the same safeguards as real usage:
Resume anonymization (no PII in embeddings or prompts)
Fact verification against source documents
Bias audit chain surfaced to the user
Human-in-the-loop framing (decision support, not automation)
If you’re exploring AI-assisted hiring workflows or interested in transparent, bias-aware evaluation pipelines, I’d love feedback.
I’ve added a one-click demo mode to the Candidate Assessment tab of my Hugging Face Space: AI Recruiting Agent.
👉 19arjun89/AI_Recruiting_Agent
🚀 What’s new
You can now experience the full recruiting workflow end-to-end with a single click, without uploading any files.
The One-Click Demo automatically:
Clears any existing vector data
Loads sample company culture documentation
Loads a sample candidate resume
Loads a sample job description
Runs the full candidate evaluation pipeline
All using sample documents included directly in the Space repo.
🧪 What the demo showcases
Skills match analysis
Culture fit evaluation
Final hiring recommendation
Hallucination verification & self-correction
Bias audit (pedigree bias, subjective language, non-traditional paths)
This makes it much easier for first-time users, reviewers, and evaluators to understand what the system does and how responsible AI safeguards are applied—without setup friction.
🛡️ Responsible by design
The demo uses the same safeguards as real usage:
Resume anonymization (no PII in embeddings or prompts)
Fact verification against source documents
Bias audit chain surfaced to the user
Human-in-the-loop framing (decision support, not automation)
If you’re exploring AI-assisted hiring workflows or interested in transparent, bias-aware evaluation pipelines, I’d love feedback.
Roadmap + Weekly Updates for AI Recruiting Agent (Feedback Welcome)
1
#1 opened 8 days ago
by
19arjun89
replied to
their
post
7 days ago
Some technical details for those interested:
- Resume and culture docs are chunked into Chroma vector stores
- Candidate scoring runs in two independent chains (skills + culture)
- Each analysis is fact-checked against source inputs
- Unverified claims can trigger a self-correction routine
- A separate bias audit prompt triangulates across skills, culture, and the final recommendation
Everything is designed as decision support — not an automated hiring gate.
replied to
their
post
7 days ago
🙏 Feedback Welcome
I’d love input on:
• Fairness pitfalls or bias signals I may have missed
• Edge cases in resume anonymization
• Verification or audit patterns you’ve seen work well
• Features that would make this more useful in real hiring workflows
Happy to answer technical questions or iterate based on feedback.
published
a
dataset
8 days ago
Related Space and Feedback Sharing
#1 opened 8 days ago
by
19arjun89
General Feedback and Related Space
#1 opened 8 days ago
by
19arjun89
Great Work and Related Space
#3 opened 8 days ago
by
19arjun89
liked
a
Space
12 days ago
posted
an
update
14 days ago
Post
290
🧠 Introducing AI Recruiting Agent — A Responsible Hiring Assistant in Hugging Face Spaces
Hi everyone! 👋
I’m excited to share a new Hugging Face Space I’ve built: AI Recruiting Agent — a Gradio-powered assistant designed to help automate candidate evaluation and cold email drafting while embedding responsible safeguards into the workflow.
👉 Check it out here:
19arjun89/AI_Recruiting_Agent
🚀 What It Does
This Space helps recruiters and talent teams do two main things:
1. Assess Candidate Fit
• Upload a batch of resumes and company culture documents
• Paste in a job description
• The assistant evaluates each candidate across skills match, culture fit, and produces an actionable hiring recommendation
2. Generate Candidate-Specific Emails
• Upload a single resume + job description
• It produces a professional cold outreach email tailored to that candidate
👥 Who This Is For
This Space is designed for:
• Recruiters and talent teams experimenting with AI-assisted screening
• ML engineers building responsible RAG systems
• Researchers exploring bias mitigation and LLM verification
• Product teams prototyping decision-support tools
🛡️ Built-In Bias Mitigation & Verification
Because AI recruitment comes with real risks, I’ve built several safeguards into the design:
🔹 Input Anonymization
Resumes are sanitized of email, phone numbers, URLs, physical addresses, and other personal identifiers.
🔹 Fact Verification
Every analysis (skills & culture) is verified against source inputs using a custom fact-checking prompt. Claims that aren’t supported are flagged and can trigger a self-correction routine.
🔹 Bias Audit Chain
bias audit prompt that reviews:
• Over-reliance on pedigree or subjective language
• Penalization of nontraditional career paths
• Unsupported reasoning outside the job description or culture docs
These checks aren’t meant to replace human judgment, but to make AI support more transparent and fair.
Hi everyone! 👋
I’m excited to share a new Hugging Face Space I’ve built: AI Recruiting Agent — a Gradio-powered assistant designed to help automate candidate evaluation and cold email drafting while embedding responsible safeguards into the workflow.
👉 Check it out here:
19arjun89/AI_Recruiting_Agent
🚀 What It Does
This Space helps recruiters and talent teams do two main things:
1. Assess Candidate Fit
• Upload a batch of resumes and company culture documents
• Paste in a job description
• The assistant evaluates each candidate across skills match, culture fit, and produces an actionable hiring recommendation
2. Generate Candidate-Specific Emails
• Upload a single resume + job description
• It produces a professional cold outreach email tailored to that candidate
👥 Who This Is For
This Space is designed for:
• Recruiters and talent teams experimenting with AI-assisted screening
• ML engineers building responsible RAG systems
• Researchers exploring bias mitigation and LLM verification
• Product teams prototyping decision-support tools
🛡️ Built-In Bias Mitigation & Verification
Because AI recruitment comes with real risks, I’ve built several safeguards into the design:
🔹 Input Anonymization
Resumes are sanitized of email, phone numbers, URLs, physical addresses, and other personal identifiers.
🔹 Fact Verification
Every analysis (skills & culture) is verified against source inputs using a custom fact-checking prompt. Claims that aren’t supported are flagged and can trigger a self-correction routine.
🔹 Bias Audit Chain
bias audit prompt that reviews:
• Over-reliance on pedigree or subjective language
• Penalization of nontraditional career paths
• Unsupported reasoning outside the job description or culture docs
These checks aren’t meant to replace human judgment, but to make AI support more transparent and fair.
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published
a
Space
11 months ago
updated
a
Space
12 months ago
published
a
Space
12 months ago
updated
a
Space
12 months ago
published
a
Space
12 months ago
updated
a
Space
12 months ago
published
a
Space
12 months ago