3 months ago
London, United KingdomSenior
Responsibilities
- Own the end-to-end architecture and execution of AI agent builds from scoping and systems design through implementation, evaluation, and production deployment
- Design and engineer agentic logic to optimize quality, reliability, and correctness across non-deterministic model outputs
- Build and validate layered guardrails and supervisory controls for safe and predictable agent performance
- Architect, build, and test integrations with customer data pipelines, CRMs, and ticketing systems
- Define success criteria and system requirements with senior customer technical stakeholders and drive delivery against timelines
- Diagnose and resolve probabilistic and technical failures using execution traces, error logs, and model behavior analysis
- Design evaluation and regression-testing frameworks to validate agent behavior and prevent performance drift
- Document customer needs and partner with Engineering to improve the agent-building platform
- Collaborate with Agent PMs, Agent Success, Engineering, Design, and Go-To-Market teams
Requirements
- At least 5 years of relevant 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 written and spoken English and German
- Ability to write code, work with APIs, and build and validate integrations end-to-end
- Experience delivering production-grade customer solutions through structured execution, testing, validation, and iteration
- Ability to communicate with senior technical stakeholders, translate requirements into implementation plans, and drive delivery
- Experience with LLMs or AI agents, including prompting, evaluation, guardrails, tooling, or workflow design, is preferred
- Experience with enterprise SaaS integrations and related security or compliance considerations is preferred
- A Computer Science, Engineering, or Math degree, or equivalent technical experience, is preferred
- Strong product instincts, including writing PRDs, defining success metrics, and contributing customer insights to product roadmaps, are preferred
- Fluent written and spoken English and German are required
Benefits
- Take-what-you-need vacation policy, with UK employees receiving 25 statutory leave days
- Medical, dental, and vision benefits for employees and families
- Life insurance and disability benefits
- Retirement plan, such as a 401(k) or pension
- Parental leave
- Fertility and family-building benefits through Carrot
- Daily lunches and snacks in the office
- In-office work arrangement
Categories
Solutions Engineering
About Decagon
Decagon builds an enterprise conversational AI platform that deploys customer-support agents across voice, chat, email, SMS, and other channels. It sells to large brands via enterprise subscriptions and services, helping automate and personalize support workflows. Founded in 2023 and headquartered in San Francisco, Decagon’s customers include Avis Budget Group, Chime, Oura Health, and 1-800-Flowers.