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#209: Transforming the hiring process with JobHive
Manage episode 524236628 series 2842995
In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything.
We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, and why it’s important to keep the reasoning behind decisions visible to both employers and candidates.
From the builder’s perspective, Aaron walks through the practical side of developing the platform: shaping an MVP, working with LangChain, choosing AWS tools that reduce overhead, and dealing with the usual setbacks—broken features, unreliable external services, and the moments that test your patience. He also talks about the routines and habits that helped him stay consistent during the harder stretches.
If you’re interested in hiring workflows, AI tooling, or the reality of turning a rough prototype into a functioning product, this conversation covers it all.
To learn more about Aaron's work, check out his websites or reach out to him on socials:
JobHive: https://jobhive.ai
Aaron's Website: https://ajeema.com/
LinkedIn: https://www.linkedin.com/in/mraaronjorgensen/
Circle: https://pybites.circle.so/u/22287446
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Book mentioned in ep: https://pybitesbooks.com/books/P3EFa-WuMMkC
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💡🧑💻 Want to become a more focused, motivated, and effective Python developer? The Pybites Developer Mindset (PDM) Program helps you build strong habits, deepen your skills, and make real progress in just six weeks. Join us for mentorship, accountability, and a supportive community that keeps you moving forward. Start your PDM journey now! 🌟✅ https://pybit.es/catalogue/the-pdm-program/
___
If you found this podcast helpful, please consider following us!
Start Here with Pybites: https://pybit.es
Chapters
1. Minimal Viable Mindset (00:00:00)
2. Welcome And Guest Introduction (00:00:28)
3. JobHive Overview And Core Value (00:03:16)
4. Origin Story: Resume Parsing To Interviews (00:05:21)
5. Prototyping The First Voice-To-LLM Flow (00:09:03)
6. Moving To AWS And LangChain Orchestration (00:12:40)
7. From MVP To Product: Feedback Loops (00:16:09)
8. Bias, Fairness, And Human In The Loop (00:18:58)
9. Multi-Agent Design And Scoring Checks (00:22:26)
10. Learning By Building And Tenacity (00:26:12)
11. Mindset: From Scripts To SaaS (00:29:18)
12. Breakthroughs After Roadblocks (00:32:28)
13. Beta Launch And How To Try JobHive (00:35:42)
14. Fitness, Discipline, And Clear Thinking (00:37:02)
15. Book Pick: Pitch Anything (00:38:28)
16. Closing Thoughts And Community Invite (00:40:41)
210 episodes
Manage episode 524236628 series 2842995
In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything.
We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, and why it’s important to keep the reasoning behind decisions visible to both employers and candidates.
From the builder’s perspective, Aaron walks through the practical side of developing the platform: shaping an MVP, working with LangChain, choosing AWS tools that reduce overhead, and dealing with the usual setbacks—broken features, unreliable external services, and the moments that test your patience. He also talks about the routines and habits that helped him stay consistent during the harder stretches.
If you’re interested in hiring workflows, AI tooling, or the reality of turning a rough prototype into a functioning product, this conversation covers it all.
To learn more about Aaron's work, check out his websites or reach out to him on socials:
JobHive: https://jobhive.ai
Aaron's Website: https://ajeema.com/
LinkedIn: https://www.linkedin.com/in/mraaronjorgensen/
Circle: https://pybites.circle.so/u/22287446
___
Book mentioned in ep: https://pybitesbooks.com/books/P3EFa-WuMMkC
___
💡🧑💻 Want to become a more focused, motivated, and effective Python developer? The Pybites Developer Mindset (PDM) Program helps you build strong habits, deepen your skills, and make real progress in just six weeks. Join us for mentorship, accountability, and a supportive community that keeps you moving forward. Start your PDM journey now! 🌟✅ https://pybit.es/catalogue/the-pdm-program/
___
If you found this podcast helpful, please consider following us!
Start Here with Pybites: https://pybit.es
Chapters
1. Minimal Viable Mindset (00:00:00)
2. Welcome And Guest Introduction (00:00:28)
3. JobHive Overview And Core Value (00:03:16)
4. Origin Story: Resume Parsing To Interviews (00:05:21)
5. Prototyping The First Voice-To-LLM Flow (00:09:03)
6. Moving To AWS And LangChain Orchestration (00:12:40)
7. From MVP To Product: Feedback Loops (00:16:09)
8. Bias, Fairness, And Human In The Loop (00:18:58)
9. Multi-Agent Design And Scoring Checks (00:22:26)
10. Learning By Building And Tenacity (00:26:12)
11. Mindset: From Scripts To SaaS (00:29:18)
12. Breakthroughs After Roadblocks (00:32:28)
13. Beta Launch And How To Try JobHive (00:35:42)
14. Fitness, Discipline, And Clear Thinking (00:37:02)
15. Book Pick: Pitch Anything (00:38:28)
16. Closing Thoughts And Community Invite (00:40:41)
210 episodes
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