
About Us
Rezo.ai is an AI-Powered Contact Centre that enables enterprises to enhance customer experience and boost revenue by automating and analyzing customer agent interactions across multiple channels including voice, email, chat/WhatsApp, and social, at the required scale, whilst training agents with minimal costs
How do we do it
Rezo’s AI-Powered contact center leverages ground-breaking technologies in AI, ML, ASR, NLP, RPA, and predictive intelligence to transform customer experience and reduce costs by automating, and analyzing social media, whilst coaching them.
Job Description
- Preference would be given to having experience in IVR and Call Center application development.
- Hands-on experience in Kamailio SIP Server
- Hands-on experience in WEBRTC
- Asterisk integration with PSTN is preferred.
- Asterisk integration with Database (MySQL and MSSQL) with knowledge of queries and stored procedures.
- Scripting with Shell, Perl.
- Experience in installing Hosted VoIP
Nice to have- Good knowledge of SIP and IAX.
- MySQL and Telephony Domain.
- Ability to test and troubleshoot Asterisk applications/issues
- Knowledge of C programming in Asterisk
Qualifications
Candidate Profile
The candidate must have:
- 2 - 4 years of experience working on the Asterisk platform.
- Strong Knowledge of PBX, SIP, and RTP protocols.
- Strong knowledge of multi-asterisk server architecture
- Sound knowledge of Asterisk Dial-plan, Asterisk Gateway Interface and Asterisk Manager Interface.
- Worked on Queue, IVR and Voicemail-related applications.
- Expert in Asterisk installation, configuration and troubleshooting.
- Expert knowledge of installing and configuring Asterisk with PSTN card.
- R & D skills in Asterisk.
- Experienced with Linux (LAMP) servers (Centos, Apache, MySQL, PHP)

About Rezo.AI
About
Rezo.ai is an AI-Powered Contact Center that enables enterprises to enhance customer experience and boost revenue by automating and analyzing customer agent interactions across multiple channels including voice, email, chat/WhatsApp, and social, at the required scale, whilst training agents with minimal costs.
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