Senior Software Engineer, Agent Orchestration 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, Artificial Intelligence, TechnologyIndustries

Requirements

5+ years of experience building production systems
Proficiency in Python or Typescript and comfort with asynchronous programming
Strong debugging skills across complex technical stacks
Ability to design reliable distributed systems that handle real world failure modes
A track record of owning large technical projects end to end

Responsibilities

Build the execution engine that powers intelligent agents at scale
Design systems that coordinate model reasoning and actions while staying fast and correct
Improve reliability through better testing, observability, and safeguards
Build foundations that help teams evaluate and improve agent behavior safely and continuously

Skills

Distributed Systems

Agent Orchestration

Model Reasoning

Execution Engine

AI Agents

System Design

Scalability

Reliability

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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