Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Customer Engineer, Agent Builder, 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.

Responsibilities

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.

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).
Native or business-level fluency in both written and spoken English and French 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.

Skills

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.

Location

in-office

Work Type

full-time

Experience Level

5+ years of relevant experience

Education Level

Computer Science, Engineering, or Math degree, or equivalent technical experience

Benefits

Take what you need vacation policy
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
Daily lunches and snacks in the office

About the Company

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.