Agent Deployment Engineer

Decagon
San Francisco, New York
Workplace: OnsiteFull timeUSD 175,000 - 230,000 annuallyFunction: Design (Product/UX/UI/Visual)Experience: 5+ yearsSkills: ["APIs","Customer-facing","Communication","Problem-solving","Technical aptitude"]

You will own end-to-end AI agent builds for enterprise customers, translating requirements into build plans, implementing integrations, and validating guardrails and deployments. You’ll interface with senior technical stakeholders, partner with product, engineering, and GTM teams, and drive delivery in a fast-moving environment to produce repeatable, high-quality agent builds that deliver measurable business outcomes.

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FursaFursa
Decagon
Decagon
7 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: 8 hours agoStatus: Live

Job Summary

You will own end-to-end AI agent builds for enterprise customers, translating requirements into build plans, implementing integrations, and validating guardrails and deployments. You’ll interface with senior technical stakeholders, partner with product, engineering, and GTM teams, and drive delivery in a fast-moving environment to produce repeatable, high-quality agent builds that deliver measurable business outcomes.
Location: San Francisco, 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:Medical BenefitsDental BenefitsVision BenefitsPaid LeaveMeal Allowance

Key Requirements

  • •Have 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.
  • •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.
  • •Even better if you have experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.).
Experience:5+ yearsAISaaSEnterprise software
Skills:APIsCustomer-facingCommunicationProblem-solvingTechnical aptitude
Languages:English
Tech Stack:APIsSoftware DevelopmentEnterprise SaaSLLMs (desirable)

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