RecruitFlow AI: Agentic RAG for Recruitment

Project reference

ASK-PFE-004

Level

Bac+3

Location and work mode

On-site at Askware’s Sousse office, Tunisia.

Project

RecruitFlow AI automates first-stage recruitment, from application intake to evidence-backed candidate recommendations. It matches candidates to jobs, runs and analyses video questionnaires, and evaluates answers against HR-approved criteria using agentic RAG. HR stays in control: AI advises, HR decides.

What you will build

• Centralized platform: Securely manage applications, CVs, videos and decisions
• Smart matching: Automatically match applications to job postings
• Video interviews: Collect role-specific recorded answers
• AI assessment: Use agentic RAG to produce evidence-based recommendations
• Human oversight: Enable HR to validate every decision before automated emails go out

Technology stack

AI Engineering, Agentic RAG, Microsoft Foundry, Python, Azure OpenAI, Azure AI Search, Video Indexer and Power Automate.

Candidate profile

• Fluent French and English, with the ability to speak both languages in meetings and presentations
• Curious about Microsoft technologies and comfortable with AI and vibe coding
• Proactive, collaborative and open to new ideas
• Comfortable presenting work to a team, client or jury
• Able to break complex problems into steps and drive them to a solution

Application requirements and process

Complete the application form, upload a CV in PDF format and select up to two project references. Shortlisted candidates take part in HR and technical interviews covering motivation, experience and technical skills. Successful candidates receive confirmation and onboarding details.