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
Lead and mentor a team of Agent Engineers delivering production-ready AI agents for enterprise clients.
Take end-to-end responsibility for a set of customer accounts, ensuring agents are scoped, implemented, tested, launched, and maintained successfully.
Drive the development of AI agents that integrate with external APIs, tools, and customer systems.
Collaborate cross-functionally:
With Customer Success to align agents with client workflows and requirements.
With Product and Engineering to improve features, tooling, and internal processes.
Ensure timely delivery of high-quality, tested agents, including simulations and QA for smooth launches.
Establish and enforce team routines: sprint planning, prioritization, code & prompt reviews, knowledge sharing, and post-mortems.
Monitor and analyze agent performance in production, leveraging tools like Datadog, Snowflake, and BI systems.
Create a strong culture of ownership, independence, and urgency, while fostering growth and accountability within the team.
Stay up to date on advancements in AI agent technology (LLMs, RAG, orchestration frameworks, etc.) and bring those learnings into practice.
Requirements
+3 years of hands-on software engineering experience, including at least 1 year in a leadership/management role.
Strong programming skills - TypeScript preferred, but solid experience in modern programming is also considered.
Proven experience working with REST APIs.
Experience with monitoring & analytics tools (e.g., Datadog, Snowflake, BI systems) - strong advantage.
Familiarity with modern AI/LLM tooling and production ecosystems (e.g., LangChain, OpenAI, Hugging Face) - strong advantage.
Excellent communication skills and proven cross-functional collaboration with Product, Customer Success, and Engineering teams.
Track record of managing projects end to end - including planning, prioritization, execution, delivery, and ongoing ownership.