Senior Software Engineer, Voice Agent at Decagon

San Francisco, California, United States

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$250,000 – $375,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Conversational AI, TechnologyIndustries

Requirements

5+ years of experience in software engineering
Proficiency with Typescript, Python, and asynchronous programming
Experience with asynchronous or streaming systems
Strong debugging skills across audio, networking, or real time pipelines
An interest in speech, audio, or multimodal AI

Responsibilities

Build the real time voice runtime that powers natural customer conversations
Improve speech understanding and synthesis quality while keeping latency low
Design systems that manage timing, interruptions, and streaming audio reliably
Create tools that make voice interactions easy to debug, test, and observe at scale
Design and improve the systems that power Decagon’s live voice agents
Work across streaming audio, transcription, synthesis, timing, and real time orchestration
Collaborate closely with Research to bring new models to production
Collaborate with Infra to optimize performance
Collaborate with Product to unlock new conversational capabilities

Skills

streaming audio

transcription

speech synthesis

real-time systems

audio streaming

voice runtime

real-time orchestration

speech understanding

Python

C++

Decagon

Generative AI solutions for customer support

About Decagon

Decagon.ai provides generative AI solutions designed to improve customer support and operational efficiency for various clients, from large enterprises to growing startups. Their tools automate complex data processes, helping businesses identify themes, detect anomalies, and extract valuable insights from customer interactions. The AI-powered assistance offered by Decagon.ai takes care of routine tasks and learns from human agents, which boosts productivity and enhances customer satisfaction. Unlike many competitors, Decagon.ai focuses on deeply integrating its scalable solutions with clients' internal systems, ensuring smooth automation and support. The company operates on a subscription-based model, allowing clients to access their AI tools and support services. Notable clients include Bilt, Fourthwall, and Vanta, who utilize Decagon.ai's technology for automating ticketing, supporting creators, and improving pre-sales processes.

San Francisco, CaliforniaHeadquarters

2023Year Founded

$97.3MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Meal Benefits

Risks

Increased competition from AI giants like OpenAI and Google threatens Decagon's market share.

Over-reliance on key clients like Bilt and Vanta poses a potential business risk.

Rapid technological advancements could render Decagon's solutions obsolete without continuous innovation.

Differentiation

Decagon.ai offers AI solutions that enhance customer support and operational efficiency.

Their AI-powered agent assistance handles mundane tasks, improving productivity and satisfaction.

Decagon.ai's tools automate complex data processes, unlocking valuable insights from interactions.

Upsides

Increased demand for AI-driven customer support solutions enhances Decagon's market potential.

Growing interest in AI automation tools boosts Decagon's client acquisition opportunities.

Shift towards subscription-based AI services aligns with Decagon's scalable business model.

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