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Principal Engineer - Gen AI

exotel · 24 days ago
Negotiable
Full-time
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About us

 

Exotel is a leading full-stack customer engagement platform and business-focused virtual telecom operator. Exotel has also recently received a virtual telecom operator license to offer cost-effective end-to-end VoIP telephony services, making the company a 100% compliant cloud calling operator. Exotel was founded in 2011 and has an impressive cloud-based product suite that drives 70 million conversations daily for more than 6000 businesses in India, Southeast Asia, the Middle East, and Africa. Today, Exotel's omnichannel contact centre, communication API suite, and conversational AI platform help some of the fastest-growing businesses in emerging countries manage customer engagement. They have a $50 million ARR and a $100 million Series D funding round.

Exotel has won The ET StartUp Awards 2022 under the Comeback Kid category.

 

What you will do?

 

  • Champion exploration and adoption of GenAI technologies for Exotel. E.g LLM, STT, TTS
  • Conceptualise and develop GenAI based frameworks to accelerate GenAI capability infusion to Exotel products. E.g. Mandate designer for bots
  • Guide project teams with technology and design inputs for GenAI requirements.
  • Own up SLA responsibilities for deployments.- 
  • Demonstrable involvement with continuous improvement and automation initiatives, including patching and maintenance of production systems
  • Improve data stability, security and performance by observing patterns, recurring failures and/or issues, and advise application owners on permanent fixes accordingly
  • Identify alerts / processes that can be automated and then work with Engineering team in automating them
  • Develop reports that provide trending statistics to track and manage  health and support service performance .
  • Mentor Juniors.

 

What do we look for?

 

Must Haves

    • Experience working with few of the GenAI technologies, LLM, STT, TTS. Prompt engineering etc

    • End to end experience building, deploying and improving AI centric systems with processes such as RAG, finetuning LLMs

    • Experience with frameworks such as langchain langgraph etc.

    • Proficient in breaking abstract problems into well defined implementable tech problems

    • Proficient in one or more programming/scripting languages (Python a must)

    • Ability to work effectively across technology teams to analyze and resolve issues

    • Good communication skills to collaborate with senior stakeholders across teams

Good to Have

  • Mentoring teams to deliver
  • Experience with cloud deployments and scale
  • Exposure to data technologies.

 

 

Last updated on Oct 28, 2024

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