Decagon
Senior Software Engineer, Agent Orchestration
Decagon, San Francisco, California, United States, 94199
Senior Software Engineer, Agent Orchestration
Decagon
is a leading conversational AI platform that empowers every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries in every language at any time.
Since emerging from stealth, Decagon has experienced rapid growth and partnered with industry leaders such as Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We’ve raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, and notable angels including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
About the Team The Agent Orchestration team builds the core execution layer that powers every agent interaction, coordinating model reasoning, evaluating agent behavior, and ensuring agents behave reliably in real customer environments. We focus on correctness, reliability, and speed, shaping how Decagon agents plan, decide, and act across millions of interactions.
About the Role As a Senior Software Engineer on the Agent Orchestration team, you will design and build systems that determine how Decagon agents operate under real-world conditions. You will own complex distributed systems challenges and lay foundations that help teams improve agent performance, reliability, and quality.
In this role, you will
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
Qualifications
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
Preferred Qualifications
Experience with real-time or low latency systems
Experience with workflow engines, agents, or model-driven applications
Experience building tooling or infrastructure for other engineers
Experience with experimentation or evaluation systems
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
Base Pay Range $250,000.00/yr - $375,000.00/yr
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Decagon by 2x.
Location: San Francisco, CA
#J-18808-Ljbffr
is a leading conversational AI platform that empowers every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries in every language at any time.
Since emerging from stealth, Decagon has experienced rapid growth and partnered with industry leaders such as Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We’ve raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, and notable angels including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
About the Team The Agent Orchestration team builds the core execution layer that powers every agent interaction, coordinating model reasoning, evaluating agent behavior, and ensuring agents behave reliably in real customer environments. We focus on correctness, reliability, and speed, shaping how Decagon agents plan, decide, and act across millions of interactions.
About the Role As a Senior Software Engineer on the Agent Orchestration team, you will design and build systems that determine how Decagon agents operate under real-world conditions. You will own complex distributed systems challenges and lay foundations that help teams improve agent performance, reliability, and quality.
In this role, you will
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
Qualifications
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
Preferred Qualifications
Experience with real-time or low latency systems
Experience with workflow engines, agents, or model-driven applications
Experience building tooling or infrastructure for other engineers
Experience with experimentation or evaluation systems
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
Base Pay Range $250,000.00/yr - $375,000.00/yr
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Decagon by 2x.
Location: San Francisco, CA
#J-18808-Ljbffr