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LM
Luis Minvielle
What Are Large Language Models?
almost 3 years ago
Call Center Application Developer
Intone Networks
Westlake Village, CA, United States
about 2 months ago
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Prepare application
- Draft this with your agent
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
DevOps
Distributed Systems
Python (Programming Language)
Software Engineering
Chatbots
Large Language Models
Backend
Kubernetes
Low Latency
Front End Software Development
Virtual Agents
+1 more
Golang
Requirements
mUST HAVES: * 4- yr Degree * 8+ yrs of IT/Engineering in SW development * 5+ yrs of Python Development, 3 yrs of Golang * 5+ yrs of Telephony services (Contact Center Platforms, Conversational AI / voice AI systems, Real-time voice and LLM-powered virtual agents) * 4+ yrs of Full Stack Development, AWS ecosystem expertise, Kubernetes / containerized infrastructure, DevOps exposure, Low-latency distributed systems, LLM integration and conversational AI, Backend infrastructure scaling, Frontend development capability INTERVIEWING PROCESS: * Step 1- 60-minute Panel Video Interview * Step 2- 30-minute Hiring Manager Video Interview
Apply for this position
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Apply on www.indeed.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists4:16 min
Addressing latency and architecture in voice agents
Chris Heilmann +2 · LIVE
2:17 min
Mapping the maturity roadmap for scaled devops adoption
Dominik Krichbaum · World Congress 2026 Europe
1:08 min
Building solutions with open source GoLang infrastructure tools
Jad Wahab · LIVE
1:52 min
Structuring and scaling the backend engineering team
Stefan Lingler +1 · Coffee With Developers
2:13 min
Building real-time phone agents with minimal infrastructure
Chris Heilmann +2 · LIVE
3:18 min
Scaling global network engineering through DevOps culture
Stuart Clark · LIVE
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