Staff Software Engineer, Agent Orchestration at Decagon

San Francisco, California, United States

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$250,000 – $375,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Conversational AI, TechnologyIndustries

Requirements

8+ years of engineering experience with a strong record of technical leadership
Proficiency in Python or Typescript and comfort with asynchronous programming
Expertise in distributed systems, concurrency, or large-scale real-time platforms
Ability to define long-term architecture and lead complex cross-functional projects
Strong instincts around system correctness, reliability, and debuggability
Experience mentoring other engineers and raising the technical bar
Even better
Experience designing runtimes, execution engines, or agent frameworks
Experience with model driven applications or complex orchestration logic
Experience with evaluation or experimentation systems
Experience influencing engineering standards across multiple teams

Responsibilities

Own the architecture and evolution of the core execution engine behind Decagon agents
Lead design for systems that coordinate complex reasoning and action flows at scale
Drive reliability, testing, and observability standards across the orchestration stack
Create frameworks that enable safe, fast iteration on agent behavior
Mentor senior engineers and help grow the technical culture of Agent Orchestration

Skills

Software Engineering

Agent Orchestration

System Architecture

Scalability

Distributed Systems

AI Platforms

Model Reasoning

Reliability Engineering

Performance Optimization

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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