Senior Software Engineer - AI Voice Platforms (Remote)

WW Talents; Detroit (MI); Remoto; USD 130.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive equity

Descrizione del lavoro

WW Talents is hiring a Senior Software Engineer with 5+ years of experience to join a small, high-impact engineering team building AI-powered voice agents used by Fortune 500 companies. This fully remote role supports teams across the US and Canada, with occasional in-person offsites.

You will ship full-stack features across multiple product teams, integrate speech tech, and optimize systems for millions of users while collaborating with product and ML teams in a fast-paced startup setting.

Competenze

• 5+ years of software development experience.
• Proficiency in Python or TypeScript (one is a hard requirement).
• Hands-on experience with LLMs, multi-turn agents, or related tooling.
• Full-stack engineering experience shipping at scale in a startup or high-growth environment.
• Experience delivering solutions used by millions of users.

Mansioni

• Build and ship full-stack features for AI-powered voice and chat products.
• Collaborate across product teams to deliver capabilities and support growth.
• Integrate speech recognition, text-to-speech, and AI model improvements in production.
• Optimize production systems for latency, cost, and user experience at enterprise scale.
• Work closely with product and ML teams in a fast-moving startup environment.

Conoscenze

Python

TypeScript

LLMs

Full-stack

Startup mindset

Strumenti

LangChain

Descrizione del lavoro

WW Talents is hiring a Senior Software Engineer with 5+ years of experience to join a small, high-impact engineering team building AI-powered voice agents used by Fortune 500 companies. This fully remote role supports teams across the US and Canada, with occasional in-person offsites.

You will ship full-stack features across multiple product teams, integrate speech tech, and optimize systems for millions of users while collaborating with product and ML teams in a fast-paced startup setting.