Join a high-velocity engineering team to build and own voice AI agents for customer-facing workflows. Design and operate distributed systems for real-time audio, call scheduling, and AI agent memory. Requires production experience in Python/TypeScript, distributed systems, and AI agents in production.
Key Highlights
Own projects end-to-end from product decisions to production code
Build reliable voice AI systems with RAG and dynamic language model routing
Design distributed call scheduling systems handling concurrency and failure recovery
Key Responsibilities
Build reliable voice AI systems, including retrieval-augmented generation, dynamic language model routing, and testing new transcription systems before release.
Design and operate distributed call scheduling systems that handle concurrency, time zones, retries, provider limits, and failure recovery.
Extend agents across voice and other communication channels, maintaining shared context between real-time and asynchronous interactions.
Develop memory and reasoning systems that help agents retain context across customer workflows.
Build AI tools that configure agents, diagnose issues, and connect with customer relationship management systems, calendars, and email.
Improve tracing and observability so production issues can be diagnosed and resolved effectively.
Technical Skills Required
Python
Distributed Systems
AI Agents
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Benefits & Perks
Equity
Visa sponsorship
Relocation support
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Nice to Have
Familiarity with LiveKit
Familiarity with Temporal
Familiarity with message queues
Familiarity with React
Familiarity with OpenTelemetry
Job Description
Join a small, high-velocity engineering team building voice AI agents for customer-facing workflows. You will own projects end to end, from product decisions and system design to production code, across applied AI, real-time audio, and distributed systems.What You'll Do
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