2 months ago
Base Salary
$175k - $230k/yr
Responsibilities
- Own the end-to-end architecture and execution of AI agent builds, from systems design and scoping through implementation, evaluation, and production deployment.
- Design and engineer agentic logic to optimize quality, reliability, and correctness across non-deterministic model outputs.
- Engineer and validate layered guardrails and supervisory controls for safe, compliant, and predictable agent performance.
- Architect, build, and test integrations with customer systems, including data pipelines, CRMs, and ticketing systems.
- Build the tools, APIs, and workflows required for reliable deployments at scale.
- Work with senior customer technical stakeholders to define success criteria and system requirements and deliver 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 maintain feedback loops with Engineering to improve the agent-building platform.
- Partner with Agent PMs, Agent Success, Engineering, APMs, Design, and Go-To-Market teams to deliver repeatable agent builds.
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 Spanish.
- Strong technical foundation, including the 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.
- Ability to work effectively in fast-moving and ambiguous environments.
- Preferred experience building with or around LLMs and AI agents, including prompting, evaluation, guardrails, tooling, or workflow design.
- Preferred experience with enterprise SaaS integrations, ticketing systems, CRM systems, data pipelines, and related security or compliance considerations.
- A Computer Science, Engineering, or Math degree, or equivalent technical experience, is preferred.
- Strong product instincts, including the ability to write clear PRDs, define success metrics, and contribute customer insights to the product roadmap.
Benefits
- Take-what-you-need vacation policy, with UK employees receiving 25 days of statutory leave
- Medical, dental, and vision benefits for employees and families
- Life insurance and disability benefits
- Retirement plan, such as a 401K or pension
- Parental leave
- Fertility and family-building benefits through Carrot
- Daily lunches and snacks in the office
- Full-time, in-office work arrangement
Categories
Solutions Engineering
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, Chime, Oura Health, 1-800-FLOWERS.COM, 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.