Senior Software Engineer, Agent Platform

Decagon
San Francisco
Workplace: OnsiteFull timeUSD 250,000 - 330,000 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: ["Problem-solving","Communication","Collaboration","Debugging","Leadership"]

Senior Software Engineer on the Agent Orchestration team designs and builds the core distributed systems that power Decagon’s agent-driven interactions at scale, focusing on reliability, performance, and safe agent behavior. You’ll own complex infrastructure, influence architecture, and work across real-world failure modes to advance one of the world’s most advanced agent platforms.

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FursaFursa
Decagon
Decagon
9 months ago

Senior Software Engineer, Agent Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Senior Software Engineer on the Agent Orchestration team designs and builds the core distributed systems that power Decagon’s agent-driven interactions at scale, focusing on reliability, performance, and safe agent behavior. You’ll own complex infrastructure, influence architecture, and work across real-world failure modes to advance one of the world’s most advanced agent platforms.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key 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

Pay and Benefits

Salary: USD 250,000 - 330,000 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionPaid LeaveEquity

Key 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
Experience:5+ yearsConversational AIEnterprise softwareAI platforms
Skills:Problem-solvingCommunicationCollaborationDebuggingLeadership
Languages:English
Tech Stack:PythonTypescriptAsynchronous programmingDistributed systemsTestingObservability

Company Brief

Decagon
Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
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