Agent Deployment Engineer - Spanish Speaking

Decagon; Toronto; Sur place; CAD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, Vision benefits

Retirement plan

Parental Leave

Fertility and family building benefits

Wellness stipend

Daily office lunches

Résumé du poste

Decagon is hiring an Agent Deployment Engineer to own end-to-end AI agent builds for strategic, enterprise customers. You will design, implement, and validate agent logic, while integrating with CRM and data pipeline systems to ensure reliable, scalable deployments.

The role requires 5+ years in a technical, customer-facing capacity, with strong communication skills in English and Spanish. You will collaborate with product, engineering, and GTM teams in a fast-paced, in-office environment.

Qualifications

• Minimum 5+ years in a technical customer-facing role (solutions engineering, implementation engineering, etc.).
• Fluency in both written and spoken English and Spanish is required.
• Strong technical foundation: coding, APIs, end-to-end integrations, and production-grade customer solutions.

Responsabilités

• Own end-to-end AI agent build deployments for enterprise customers, from scoping to production.
• Design agent logic and ensure reliability across non-deterministic outputs.
• Build and validate integrations with customer systems (CRMs, data pipelines, ticketing).
• Interface with senior technical stakeholders to define success criteria and drive delivery.
• Diagnose issues via root-cause analysis of logs and traces; enforce quality controls and testing.
• Create internal docs and feedback loops to improve the platform.

Connaissances

5+ years customer-facing

English and Spanish fluency

API integrations

Stakeholder communication

Formation

CS/Engineering/Math degree or equivalent

Outils

APIs

CRM integrations

Data pipelines

Description du poste

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

About the Team

Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands‑on execution, rigorous iteration, and deep technical delivery to reach enterprise‑grade performance.

We’re creating an Agent Deployment Engineering Org: a specialized technical delivery team responsible for end‑to‑end execution of AI agent builds. Agent Deployment Engineers own the hands‑on work required to deliver best‑in‑class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Deployment Engineers are technical and customer‑facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution.

About the Role

As an Agent Deployment Engineer, you will be responsible for end‑to‑end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise‑quality agents—partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business.

You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent‑building platform based on real customer needs. This role is ideal for someone who thrives in fast‑moving environments, enjoys shipping customer‑facing technical work, and can balance hands‑on execution with structured thinking.

In this role, you will

• Own end‑to‑end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment.
• Design and engineer the core agentic logic governing agent behavior, applying engineering principles 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 across real‑world scenarios.
• Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale.
• Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines.
• Diagnose, debug, and resolve both probabilistic and technical failures through root‑cause analysis of execution traces, error logs, and model behavior.
• Design evaluation and regression‑testing frameworks to validate agent behavior against ground truth and guard against performance drift.
• Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements.
• Partner closely with APMs, Engineering, Design, and Go‑To‑Market teams to deliver consistent, repeatable, best‑in‑class agent builds.

Your background looks something like this

• 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).
• Native or business‑level fluency in both written and spoken English and Spanish is required.
• 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.

Even better if you have

• Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.).
• Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations.
• A Computer Science, Engineering, or Math degree, or equivalent technical experience.
• Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.

Benefits

We proudly offer the following benefits for our full‑time employees:

• Medical, Dental, and Vision benefits for you and your family
• Life Insurance and Disability Benefits
• Retirement Plan (e.g., 401K, pension)
• Parental Leave
• Fertility and family building benefits through Carrot
• Monthly stipend to support your wellness, lifestyle, and work‑life balance
• Daily lunches and snacks in the office to keep you at your best
• Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.