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
As a Forward Deployed Engineer (FDE) at Wonderful, you’ll solve high-impact, real-world problems alongside enterprise customers and own work from first principles through production outcomes.
You’ll work directly with customers to understand critical workflows, design AI-driven solutions, and deploy agents that operate reliably in production. You’ll own projects end-to-end from problem definition and system design to launch and iteration - and be accountable for real business impact.
This is a hands on-generalist role for engineers who enjoy navigating ambiguity, learning quickly, and working across systems while partnering with enterprises as they become AI-driven organizations.
What You’ll Do
Partner with customers to understand operational challenges and success criteria
Translate open-ended problems into clear technical designs and implementations
Build AI agents that integrate with customer systems and perform real tasks
Own deployments, including reliability, performance, and continuous improvement
Test with real data, measure outcomes, and iterate based on results
Collaborate with Product & Engineering to ship high-quality solutions
Contribute to tools, documentation, and best practices that scale customer delivery
What We’re Looking For
5+ years of experience in software engineering or technical problem-solving roles
Strong fundamentals in software design, system thinking
Experience working across systems, integrations, and data flows
Comfort working directly with customers and owning ambiguous problems
Clear communication skills and a strong ownership mindset
Curiosity and interest in building AI-powered systems that work in practice
Nice to Have
Experience in forward-deployed, solutions engineering, or customer-facing roles
Exposure to AI agents, automation, or conversational systems
Experience operating and improving production systems
