AI/ML Engineer

Plura AI

United States

Remote

USD 120,000 - 180,000

Full time

13 days ago
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Job summary

Plura AI is seeking engineers to build and improve AI models powering conversational agents in production environments.

The role focuses on language understanding, voice generation, and Stateful dialogue behavior, with emphasis on low-latency inference to ensure responsive AI interactions.

Qualifications

  • Experience developing or optimizing machine-learning models for production use.
  • Strong knowledge of NLP concepts and applied language-model systems.
  • Familiarity with voice synthesis or speech-related machine learning.
  • Understanding of dialogue state, context management, and real-time inference constraints.

Responsibilities

  • Develop and optimize natural-language processing models and systems.
  • Work on voice-synthesis capabilities for conversational applications.
  • Design or improve stateful dialogue-management systems that maintain context across interactions.
  • Optimize real-time inference for responsive agent behavior.

Skills

NLP concepts
Production ML
Real-time inference
Dialogue systems

Job description

Role overview

Build and improve the AI models that power conversational agents. The role spans language understanding, voice generation, stateful dialogue behavior, and low-latency inference, with an emphasis on making AI interactions more capable and responsive.

Responsibilities
  • Develop and optimize natural-language processing models and systems.
  • Work on voice-synthesis capabilities for conversational applications.
  • Design or improve stateful dialogue-management systems that maintain context across interactions.
  • Optimize real-time inference for responsive agent behavior.
Requirements
  • Experience developing or optimizing machine-learning models for production use.
  • Strong knowledge of NLP concepts and applied language-model systems.
  • Familiarity with voice synthesis or speech-related machine learning.
  • Understanding of dialogue state, context management, and real-time inference constraints.
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