It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness) Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8+ year of relevant industry experience
- Hands-on experience building distributed Voice AI systems with a large operational scale
- 4+ years building LLM-based applications (integrating models, not training)
- 4+ years of development experience with Python, Golang, Java, or similar languages
- 2+ years of experience building agents (prompt engineering) and developing LLM-based experiences
- Working experience operating highly available distributed workloads on Kubernetes following a DevOps approach
More about this role
Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)
Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success
Build and deploy large Voice AI distributed systems at scale spanning multiple regions and datacenters
Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling
Be a mentor for colleagues and help promote knowledge-sharing across Voice AI engineering disciplines
8+ year of relevant industry experience
Hands-on experience building distributed Voice AI systems with a large operational scale
4+ years building LLM-based applications (integrating models, not training)
4+ years of development experience with Python, Golang, Java, or similar languages.
2+ years of experience building agents (prompt...
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