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Careers at Decagon
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Senior Software Engineer, Platform

$300,000 - $415,000/year
16 Jun 2025
San Francisco, CA, USA
Verified by Turrior

Content + Source + Freshness • 11 Dec 2025 • 95% confidence

87 / 100

Offer value

The role presents a strong value proposition with a competitive salary, significant influence on product infrastructure, and opportunities for professional growth in AI technology.

  • Salary range: $300K - $415K/year
  • Key role in AI platform design
  • Opportunity to work with advanced AI technologies
  • Requires solid experience in software engineering
Pros
  • Rewarding salary range ($300K - $415K) and equity options
  • High impact role in designing advanced AI platforms
  • Opportunity to work within a leading AI-driven company
Cons
  • Expectation for significant contributions in system design
  • Demands thorough understanding of complex technology stacks
  • Limited remote work options with in-office requirement

Who it's for

Mid to Senior Engineer • Office-based

Good fit
  • Mid to senior-level engineers familiar with AI technologies
  • Candidates passionate about software development in AI
  • Individuals eager to work in a high-growth tech environment
Not recommended for
  • New graduates or entry-level professionals without AI experience
  • Those solely seeking remote positions
  • Candidates without strong engineering backgrounds

Motivation fit

Desire to solve complex engineering problemsInterest in building scalable AI solutionsMotivation to work in a collaborative and innovative environment

Key skills

Asynchronous programming expertiseAI model orchestrationEnd-to-end ownership of engineering projectsTechnical problem-solving abilities
Score: 87/100 AI verified analysis

About the job

About Decagon

Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.

We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.

About the Team

The Platform Engineering team at Decagon designs the proprietary orchestration layer that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. Decagon’s leading customer support agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.

Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.

About the Role

On the Platform Engineering team, you’ll architect and build the lightning-fast infrastructure that powers hundreds of millions of interactions annually. You will develop cutting-edge methods to orchestrate high intelligence models within low-latency constraints.

Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.

In this role, you will

  • Design an AI agent platform that supports executing complex tasks across a wide range of domains precisely

  • Develop techniques for evaluating state of the art text and audio models

  • Architect highly asynchronous, multimodal systems that operate on both audio and text-based data

  • Build automation that monitors and detects intermittent issues across hundreds of millions of interactions

Your background looks something like this

  • Have 4+ years of industry experience in software engineering

  • Proficiency with Typescript, Python and asynchronous programming

  • A high degree of comfort digging into systems failures within deep technology stacks using any tool necessary

Even better

  • Prior experience working with multi-modal models

Benefits:

  • Medical, dental, and vision benefits

  • Take what you need vacation policy

  • Daily lunches, dinners and snacks in the office to keep you at your best

Compensation

$300K – $415K + Offers Equity

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