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Silver

Wonderful - Forward Deployed Engineer (Sao Paulo, BR)

  • Seen live on Silver's site yesterday
  • Senior
  • Remote
Pay
Not stated
Location
Brazil
Open for
11+ days
First seen
Oct 24, 2026
Apply on Silver's site (opens in a new tab)

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Silver's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Silver, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

5+ years of experience
“5+ years of experience building software or solving complex technical problems.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Forward Deployed Engineer (FDE) - Sao Paulo, Brazil

ABOUT Wonderful

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.

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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