Senior Software Engineer - AI Voice & LLM (Remote)

WW Talents

Dallas (TX)

À distance

USD 130 000 - 190 000

Plein temps

Il y a 8 heures
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Avantages offerts par ce poste

Competitive equity

Résumé du poste

Replicant in the United States (Remote) is seeking a Senior Software Engineer with 5+ years of experience to join a small, high-impact engineering team building AI-powered voice agents that handle millions of calls monthly for Fortune 500 companies.

You'll work across four product teams, shipping full-stack features that power the LLM-based conversational AI platform, and integrate speech recognition, TTS, and model improvements while balancing latency, cost, and user experience at enterprise

Qualifications

  • Must have proficiency in Python or TypeScript, not both.
  • Hands-on experience with LLMs (multi-turn agents, prompt engineering, or LangChain).
  • Full-stack engineering experience shipping scalable solutions in startup or high-growth environments.
  • Experience delivering software that scales to millions of users.
  • Startup mindset with proactive, self-driven work style.

Responsabilités

  • Build and ship full-stack product features for Replicant's LLM-powered voice and chat products.
  • Collaborate across product teams to deliver scalable capabilities including forward-deployed work.
  • Integrate speech recognition, text-to-speech, and conversational AI model improvements into production systems.
  • Optimize latency, cost, and user experience in enterprise-scale deployments.
  • Work closely with product and ML teams in a fast-moving startup environment.

Connaissances

Python
TypeScript
LLMs
Full-stack development
Startup mindset

Outils

LangChain

Description du poste

Replicant in the United States (Remote) is seeking a Senior Software Engineer with 5+ years of experience to join a small, high-impact engineering team building AI-powered voice agents that handle millions of calls monthly for Fortune 500 companies.

You'll work across four product teams, shipping full-stack features that power the LLM-based conversational AI platform, and integrate speech recognition, TTS, and model improvements while balancing latency, cost, and user experience at enterprise

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