2 months ago
Base Salary
$175k - $230k/yr
Responsibilities
- Own the architecture and end-to-end 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, compliant, and predictable agent performance
- Architect, build, and test integrations with customer systems, including data pipelines, CRMs, ticketing systems, tools, APIs, and workflows
- 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 collaborate with Engineering to improve the agent-building platform
- Partner with Agent PMs, Agent Success, Engineering, Design, APMs, and Go-To-Market teams
Requirements
- 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 written and spoken fluency in English and Spanish
- Strong technical foundation, including coding, APIs, and end-to-end integrations
- 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
- Comfort working in fast-moving and ambiguous environments
- Experience with LLMs or AI agents, including prompting, evaluation, guardrails, tooling, or workflow design, is preferred
- Experience with enterprise SaaS integrations such as ticketing systems, CRMs, or data pipelines, including security and compliance considerations, is preferred
- A Computer Science, Engineering, or Math degree or equivalent technical experience is preferred
- Strong product instinct, including writing PRDs, defining success metrics, and contributing customer insight to the product roadmap, is preferred
Benefits
- Take-what-you-need vacation policy; UK employees receive 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 office lunches and snacks
- 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.