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Full-Time

AI Software Engineer

Confirmed live in the last 24 hours

Decagon

Decagon

1-10 employees

Generative AI solutions for customer support

Enterprise Software
AI & Machine Learning

Senior

San Francisco, CA, USA

Category
FinTech Engineering
Software QA & Testing
Software Engineering
Requirements
  • 5+ years of experience in AI/ML engineering.
  • Proven track record of working on AI/ML projects from concept to production.
  • Experience with deploying AI models in production environments.
  • You write amazing code, fast.
Responsibilities
  • Evaluating cutting-edge AI solutions and ensuring their successful implementation in enterprise environments.

Decagon.ai provides generative AI solutions designed to improve customer support and operational efficiency for a variety of 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 their scalable solutions with clients' internal systems, ensuring smooth automation and support. Their goal is to empower businesses by providing subscription-based access to their AI tools, enabling them to streamline operations and improve service quality.

Company Stage

Series A

Total Funding

$34M

Headquarters

San Francisco, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

120%

1 year growth

120%

2 year growth

120%
Simplify Jobs

Simplify's Take

What believers are saying

  • The significant funding of $35M in Seed and Series A rounds provides ample resources for innovation and market penetration.
  • Decagon's generative AI technology has the potential to significantly improve customer support efficiency and satisfaction, making it an attractive place for talent interested in cutting-edge AI.
  • The company's focus on enterprise solutions opens up opportunities for high-value contracts and long-term client relationships.

What critics are saying

  • The competitive landscape for AI-driven customer support is crowded, requiring Decagon to continuously innovate to maintain its edge.
  • High expectations from investors and the market could lead to pressure and potential burnout for employees.

What makes Decagon unique

  • Decagon's focus on generative AI for customer support sets it apart from competitors who may not specialize in this niche.
  • The company's claim of 'human-like' AI agents aims to provide a more natural and effective customer service experience, differentiating it from traditional chatbots.
  • Emerging from stealth with $35M in funding indicates strong investor confidence and provides a financial cushion for rapid development and scaling.

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