AI/ML Engineer

Plura AI; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Plura AI is seeking to advance conversational AI by building and refining NLP models, voice-synthesis capabilities, and robust dialogue-management that maintains context across exchanges. The role focuses on low-latency inference to ensure responsive agent behavior.

Ideal candidates will have hands-on experience in production ML systems, NLP, and speech-related ML, applying these skills to scalable, production-ready solutions.

Qualifications

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

Responsibilities

• Develop and optimize NLP 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

Production ML models

NLP concepts

Voice synthesis

Dialogue state management

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.