Forward Deployed Engineer

Wonderful; São Paulo; Presencial; BRL 180 000 - 320 000; Tempo integral

Resumo da oferta

Wonderful is seeking a Forward Deployed Engineer in Brazil, São Paulo. You will embed with enterprise teams, uncover operational workflows, and design AI agents that integrate with customer tools and data to create measurable business impact.

You will lead deployments from discovery to production, continuously improving solutions based on real outcomes and customer feedback.

Qualificações

• 5+ years of software engineering or solving complex technical problems.
• Strong foundations in architecture and production engineering.
• Experience with APIs, integrations, data flows, and distributed systems.
• Ability to bring structure and momentum to ambiguous problems.
• Comfort working directly with customers and technical stakeholders.
• Curiosity about applied AI and its business impact.

Responsabilidades

• Embed with customers to understand workflows, constraints, and success metrics.
• Turn operational problems into clear technical plans and production systems.
• Design and build AI agents that integrate with tools, data, and processes.
• Own deployments from prototype through launch, monitoring, and iteration.
• Test with real-world data and measure business outcomes.
• Make pragmatic tradeoffs across architecture, reliability, speed, and UX.
• Collaborate with Product and Engineering to improve the core platform.
• Turn deployment lessons into reusable tools, patterns, and best practices.

Conhecimentos

APIs & integrations

Distributed systems

System design

Customer engagement

Ownership & delivery

Descrição da oferta de emprego

The Role

As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.

You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.

You’ll lead projects from initial discovery through production deployment, combining customer insight with hands‑on engineering. After launch, you’ll measure real‑world impact and keep iterating until the solution delivers meaningful results.

This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.

What You’ll Do

• Embed with customers to understand their workflows, constraints, and measures of success.
• Turn loosely defined operational problems into clear technical plans and production systems.
• Design and build AI agents that integrate with customer tools, data, and business processes.
• Own deployments from prototype through launch, monitoring, and continuous improvement.
• Test with real-world data, measure business outcomes, and iterate based on evidence.
• Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
• Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
• Turn lessons from individual deployments into reusable tools, patterns, and best practices.

What We’re Looking For

• 5+ years of experience building software or solving complex technical problems.
• Strong foundations in software architecture, system design, and production engineering.
• Experience working across APIs, integrations, data flows, and distributed systems.
• The ability to bring structure and momentum to ambiguous problems.
• Confidence working directly with customers, from operational teams to technical stakeholders.
• Clear communication, sound judgment, and a strong sense of ownership.
• Genuine curiosity about applied AI and its potential to transform how businesses operate.

Nice to Have

• Experience in a forward‑deployed, solutions engineering, consulting, or customer‑facing technical role.
• Experience building AI agents, workflow automation, or conversational systems.
• Familiarity with LLM evaluation, observability, and reliability in production.
• Experience deploying and improving systems in complex enterprise environments.

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