Agent Deployment Engineer

Decagon
New York
Workplace: OnsiteFull timeUSD 175,000 - 230,000 annuallyFunction: Design (Product/UX/UI/Visual)Skills: ["Communication","Presentation","Collaboration","Problem-solving"]

End-to-end execution of AI agent builds for enterprise customers, translating requirements into build plans and delivering agents that impact the customer’s business by collaborating with cross-functional teams.

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FursaFursa
Decagon
Decagon
4 months ago

Agent Deployment Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

End-to-end execution of AI agent builds for enterprise customers, translating requirements into build plans and delivering agents that impact the customer’s business by collaborating with cross-functional teams.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

  • •Own end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration.
  • •Write and maintain key agent-building artifacts (e.g., AOPs), and configure agent behavior to optimize quality, reliability, and business outcomes.
  • •Configure and validate guardrails to ensure safe, compliant, and predictable agent performance across real-world scenarios.
  • •Set up, test, and validate customer integrations (e.g., ticketing systems), including building tools and workflows needed for successful deployments.
  • •Interface with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against timelines.

Pay and Benefits

Salary: USD 175,000 - 230,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kParental Leave

Key Requirements

  • •5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).
  • •Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end. Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.
  • •Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
  • •Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.
Experience:AILLMEnterprise software
Skills:CommunicationPresentationCollaborationProblem-solving
Languages:English
Tech Stack:APIsCodeIntegrationLLMsGuardrails

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
WebsiteLinkedInGlassdoor