Why This Job is Featured on The SaaS Jobs
This Agent Engineer role stands out in SaaS because it sits directly on the product surface where AI agents become a shippable, monitored capability across channels like voice, chat, and email. The remit—connecting agents to customer APIs, databases, and internal tools—reflects a growing category of SaaS work: turning LLMs into reliable, integrated workflows rather than standalone demos, with an emphasis on production outcomes.
From a SaaS career perspective, the work builds durable strengths in integration-heavy product delivery: designing interfaces between platform components, instrumenting performance with live data, and iterating toward accuracy and latency targets. The combination of internal tooling (TypeScript) and customer-facing iteration also mirrors how modern SaaS platforms mature—through reusable building blocks, documentation, and repeatable implementation patterns that can scale across accounts and use cases.
This role is best suited to engineers who enjoy bridging application logic and real-world systems, and who are comfortable collaborating across Product, Engineering, and Customer Success. It fits professionals who want hands-on ownership of end-to-end delivery—from requirements and demos through deployment—while developing judgment about reliability and safety in AI-enabled SaaS features.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Agent Engineer, Caribbean
Description
Wonderful enables enterprises to build, test, deploy, and monitor AI agents for their most complex needs, serving customers and employees seamlessly across voice, chat, email, and back-office systems in any language or cultural context.
Role Overview
We’re looking for an Agent Engineer who wants to be at the sweet spot of AI + engineering. You won’t just tweak prompts, you’ll architect agents that connect to APIs, crunch live data, and deliver enterprise-grade outcomes.
Think of this role as half builder, half hacker: you’ll design prompts, wire up backends, test with real users, and ship agents into production that prove how AI can move the needle for enterprises. If “TypeScript + APIs + fast iterations” gets your pulse up, you’ll feel at home here. You will:
- Design prompts and implement functions that guide our AI agents across voice, chat, and email.
- Connect agents to customer APIs, databases, and internal tools so they can execute real-world tasks end-to-end.
- Build and maintain internal tooling in TypeScript, creating reusable components agents can share and build on.
- Test with live data, measure performance, and fine-tune for accuracy, reliability, and speed.
- Work directly with enterprise customers: gather requirements, run demos, and iterate in real time.
- Partner with Product, Engineering, and Customer Success to ship agents that are ready for production at scale.
- Contribute to documentation, processes, and best practices that make AI
Requirements
- Bachelor’s degree (or higher) in Computer Science or a related STEM field.
- Excellent English, written and spoken+ Spanish
- Strong, hands-on skills with APIs, backend logic, and system integrations.
- Solid programming skills; TypeScript experience is a strong advantage.
- Previous exposure to technical, customer-facing roles (integrations, solutions engineering, etc.) is a plus.
- Familiarity with monitoring, dashboarding, or analytics tools (e.g., Datadog) is a bonus.
- A problem-solving mindset, sharp attention to detail, and real passion for AI