Agent Software Engineer at Decagon

San Francisco, California, United States

Decagon Logo
$170,000 – $270,000Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Enterprise SoftwareIndustries

Requirements

  • 3+ years of experience developing and deploying production-level products and systems
  • Ownership of problems from start to finish and eagerness to learn
  • Passionate about the end-user experience
  • Ability to write amazing code, fast

Responsibilities

  • Work directly with enterprise customers to design, deploy, and optimize AI agents
  • Drive real impact by balancing strategic and implementation work
  • Tackle unique challenges associated with scaling and deploying AI applications
  • Be at the forefront of LLMs and AI Agents

Skills

Key technologies and capabilities for this role

LLMsAI AgentsSoftware DevelopmentDeploymentScalingProduction SystemsOptimization

Questions & Answers

Common questions about this position

What is the salary range for the Agent Software Engineer position?

The salary range is $170K - $270K.

Is this position remote or onsite?

This is an onsite position.

What skills and experience are required for this role?

Requirements include 3+ years of experience developing and deploying production-level products and systems, ownership of problems from start to finish with eagerness to learn, passion for the end-user experience, and the ability to write amazing code quickly.

What benefits does Decagon offer?

Benefits include medical, dental, and vision coverage, a take-what-you-need vacation policy, and daily lunches, dinners, and snacks in the office.

What makes a strong candidate for this Agent Software Engineer role?

Strong candidates have 3+ years of experience with production-level systems, demonstrate ownership and eagerness to learn, show passion for end-user experience, and can write high-quality code quickly.

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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