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 rolefor 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
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Partner with customers to understand operational challenges and success criteria
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Translate open-ended problems into clear technical designs and implementations
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Build AI agents that integrate with customer systems and perform real tasks
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Own deployments, including reliability, performance, and continuous improvement
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Test with real data, measure outcomes, and iterate based on results
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Collaborate with Product & Engineering to ship high-quality solutions
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Contribute to tools, documentation, and best practices that scale customer delivery
What We’re Looking For
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5+ years of experience in software engineering or technical problem-solving roles
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Strong fundamentals in software design, system thinking
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Experience working across systems, integrations, and data flows
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Comfort working directly with customers and owning ambiguous problems
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Clear communication skills and a strong ownership mindset
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Curiosity and interest in building AI-powered systems that work in practice
Nice to Have
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Experience in forward-deployed, solutions engineering, or customer-facing roles
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Exposure to AI agents, automation, or conversational systems
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Experience operating and improving production systems