Agent Deployment Engineer - German Speaking

Decagon; London (KY); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life Insurance

401K

Parental Leave

Flexible vacation

Job summary

Decagon is seeking an Agent Deployment Engineer to lead end-to-end AI agent builds for enterprise customers. You will own design, implementation, evaluation, and production deployment, partnering with customers and internal teams to define success and deliver high-quality agents.

You will work with Agent PMs, Engineering, and GTM to create tight feedback loops, scale deployments, and ensure safe, compliant operation across real-world scenarios.

Qualifications

• 5+ years in a technical customer-facing role such as solutions engineering, forward-deployed engineering, or technical consulting.
• Fluency in English and German (written and spoken) is required.
• Strong technical foundation: writing code, working with APIs, building and validating end-to-end integrations.
• Ability to communicate with senior technical stakeholders and drive delivery.
• Comfort in fast-moving, ambiguous environments where you shape solutions as you implement them.

Responsibilities

• Own end-to-end architecture and execution of AI agent builds for enterprise customers from design through production deployment.
• Design core agent logic and ensure quality, reliability, and correct behavior of non-deterministic outputs.
• Build guardrails and supervisory controls for safe, compliant agent performance in real-world scenarios.
• Integrate with customer systems (data pipelines, CRM, ticketing) and create reliable deployment tools and workflows.
• Collaborate with cross-functional teams to define success criteria and drive platform improvements.
• Diagnose and debug failures via root-cause analysis of traces and logs.
• Translate customer needs into internal docs and iterate with Engineering.

Skills

English & German

Solutions engineering

APIs & integrations

Coding experience

Production-grade

Education

CS/Engineering degree

Tools

APIs

Job description

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.

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 German 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.