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Our Voice AI team is building autonomous AI agents that handle inbound calls for customer support, allowing human agents to focus on high-value interactions. This initiative is vital for our vision of creating the ultimate omni-channel AI customer support agent. After launching our AI Assist product, we've seen tremendous growth with a strong pipeline of deals, making this one of the fastest growing areas both inside our company and across the industry. We're currently one of the largest companies deploying voice AI in production at massive scale. By joining our team, you'll be on the cutting edge of this exciting trend, working with real-world deployments at leading tech companies. The engineering challenges are exciting and largely unsolved: achieving the perfect balance between AI agent intelligence, latency, cost, and scale while building autonomous voice agents that can reliably handle customer conversations. You'll be designing systems that scale across communication channels and pushing the boundaries of what's possible with current LLM and voice technology.
Job Responsibility:
Building high-quality software for our voice AI platform, from rapid prototypes that push the boundaries of what's possible to production-ready, scalable solutions
Continuously improving our AI capabilities and accuracy through experimentation, data analysis, and innovative approaches
Implementing and optimizing LLM and voice technology while balancing intelligence, latency, and cost
Collaborating across engineering and cross-functional teams to tackle challenging technical problems throughout the full lifecycle of our voice AI products - from ideation and prototyping to deployment and monitoring
Build foundational voice features: Develop voice-specific product features from the ground up, such as implementing voice recognition capabilities powered by LLMs and intelligent categorization of incoming calls. You'll help design and build intuitive interfaces for support agents to monitor and interact with AI voice assistants
Improve LLM model results for voice applications: Enhance our voice recognition and generation engine using advanced techniques. You'll help us leverage implicit knowledge bases to improve model performance in voice contexts
Develop voice AI infrastructure: Architect the abstractions that enable integration of various types of LLMs tailored for voice applications. You'll design and implement evaluation and logging systems to monitor performance
Engage with customers: Collaborate with our customers (both support agents and managers) to understand how they interact with our voice product, and how we can improve their experience
Wear many hats: Be versatile in roles — coding, user research, planning, brainstorming, and cross-team collaboration
Shape the team culture: Encourage a startup mentality focused on product quality and taking initiative
Requirements:
3+ years of experience in software engineering as an individual contributor
Strong proficiency in a modern programming language (Go, Python, C#, etc.)
Experience with distributed systems
Solid understanding of data structures, algorithms, and software design principles
Ownership mindset and proven track record of learning new technologies quickly
Enthusiasm and passion for learning AI/ML technologies (no prior experience required)
Highly ambitious and driven, setting high goals for yourself and others
Put customers first, focusing on solving real problems
Enjoy fast-paced environments and can quickly adjust when new insights emerge
A bit of a maverick streak that helps you come up with creative solutions
Have made a noticeable impact on small teams and have solid experience in startups or smaller companies
Stay humble and open to feedback, value teamwork, and are always ready to learn and grow
What we offer:
Generous medical, dental, and vision benefits
Paid company holidays, sick time, and unlimited time off
Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting
Paid parental leave
401(k) plan enrollment
Stock options are provided as part of the compensation package