Senior Software Engineer, Agent Orchestration at Decagon

San Francisco, California, United States

Decagon Logo
$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

Key technologies and capabilities for this role

Distributed SystemsAgent OrchestrationModel ReasoningExecution EngineAI AgentsSystem DesignScalabilityReliability

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The salary range is $250K - $375K.

Is this role remote or in-office?

Decagon is an in-office company.

What skills are required for this Senior Software Engineer role?

Candidates need 5+ years of experience building production systems, proficiency in Python or Typescript with comfort in asynchronous programming, strong debugging skills across complex stacks, ability to design reliable distributed systems, and a track record of owning large technical projects end to end.

What are Decagon's company values and work environment like?

Decagon's values are customers are everything, relentless momentum, winner’s mindset, and stronger together. They are an in-office company driven by a shared commitment to excellence and velocity.

What makes a strong candidate for this role?

A strong candidate has 5+ years building production systems, proficiency in Python or Typescript, strong debugging skills, experience designing reliable distributed systems, and a track record owning large projects. Experience with real-time systems, workflow engines, agents, or building tooling for engineers is a plus.

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.

Land your dream remote job 3x faster with AI