Agent Deployment Engineer - Spanish Speaking

Decagon
New York
Workplace: OnsiteFull timeUSD 175,000 - 230,000 annuallyFunction: Administration & Executive AssistanceExperience: 5+ yearsSkills: ["Communication","Problem-solving","Structured execution","Stakeholder management"]

Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and scoping through implementation, evaluation, and production deployment. Engineer core agentic logic, layered guardrails, and supervisory controls for reliable, safe performance. Build and validate integrations with customer systems (data pipelines, CRMs, ticketing), diagnose failures via execution traces and logs, and develop evaluation/regression frameworks. Partner with PMs, Success, Engineering, and GTM to deliver repeatable, best-in-class agent experiences.

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FursaFursa
Decagon
Decagon
1 month ago

Agent Deployment Engineer - Spanish Speaking

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and scoping through implementation, evaluation, and production deployment. Engineer core agentic logic, layered guardrails, and supervisory controls for reliable, safe performance. Build and validate integrations with customer systems (data pipelines, CRMs, ticketing), diagnose failures via execution traces and logs, and develop evaluation/regression frameworks. Partner with PMs, Success, Engineering, and GTM to deliver repeatable, best-in-class agent experiences.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and scoping through implementation, evaluation, and production deployment.
  • •Design and engineer core agentic logic to optimize quality, reliability, and correctness across non-deterministic model outputs.
  • •Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance.
  • •Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing), including tools, APIs, and workflows for reliable scaled deployments.
  • •Diagnose, debug, and resolve probabilistic and technical failures via root-cause analysis of execution traces, error logs, and model behavior.

Pay and Benefits

Salary: USD 175,000 - 230,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401kPensionParental LeaveFamily Building

Key Requirements

  • •5+ years of experience in a technical customer-facing role such as solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, or technical product/PM.
  • •Native or business-level fluency in both written and spoken English and Spanish.
  • •Comfort writing code, working with APIs, and building/validating integrations end-to-end.
  • •Experience delivering production-grade customer solutions with structured execution, testing/validation, and iteration.
  • •Ability to communicate clearly with senior technical stakeholders and translate requirements into implementation plans to drive delivery.
Experience:5+ yearsSaaSEnterprise integrationsConversational AIAI agentsCustomer-facing roles
Education:
Skills:CommunicationProblem-solvingStructured executionStakeholder management
Languages:EnglishSpanish
Tech Stack:LLMsAI agentsAPIsGuardrailsSupervisory controlsCRMsData pipelinesTicketing systemsVoiceChatEmailSMS

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