Build end-to-end AI tools for internal teams, spanning data collection, ML and LLM workflows, backend, UI, and deployment, while turning business ideas into production-ready products.
Forward Deployed Engineer (FDE)
📜 Description
- Work directly with customers to understand critical workflows and design AI-driven solutions.
- Build AI agents that integrate with customer systems and perform real tasks.
- Own deployments, ensuring reliability, performance, and continuous improvement.
- Test with real data, measure outcomes, and iterate based on results.
- Collaborate with Product & Engineering to deliver high-quality solutions.
🛠️ Requirements
- 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
- Experience in forward-deployed, solutions engineering, or customer-facing roles
- Exposure to AI agents, automation, or conversational systems
- Experience operating and improving production systems
Full job description
OfferZen's client, Wonderful.ai is hiring for a Forward Deployed Engineer to join their growing team!
Wonderful.ai is a young start-up with $300M raised, and is now valued at $2B after 18 months of operations. They've grown to 600 employees across 32 countries, with an engineering team that includes people from Google, Palantir, Databricks, Microsoft, and Slack. They enable 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
Logistics
- Location: must be based in or willing to relocate to Johannesburg (office is in Rosebank)
- Office attendance: ~4 days a week on-site, typically at a client's office, not Wonderful's own office
- Citizenship/visa: no strict requirement to be SA citizen, but no visa sponsorship available — candidate must already have the right to work in SA
- Compensation expectation: targeting 95th–99th percentile of local market rates - they’re willing to pay top of the range for talent, skill and experience
- Pay structure: paid in ZAR, but employee can choose to anchor salary value to USD (converted at spot rate monthly) if they wish
If you're interested, please apply directly to this - we are recruiting on behalf of Wonderful and would need to run the interview process with you.
Similar jobs
Search more AI Engineer jobsCombine hands-on AI engineering with technical teaching to onboard teams, lead customer and partner training, and help people build and deploy enterprise AI solutions independently.
Applied AI Engineer, Startups (Physical AI)
Advise physical-world startups on building products and engineering workflows with Claude, leading technical engagements, prototyping integrations, and developing evaluations and reusable solutions across hardware domains.
Applied AI Engineer, Startups (Life Sciences)
Advise life sciences and biotech startups on building Claude-powered products and research workflows, leading hands-on technical engagements and developing evaluations, architectures, prototypes, and reusable resources.
Build and operate production AI systems by turning research prototypes into dependable product workflows, creating evaluation pipelines and dashboards, and improving model quality, reliability, latency, and cost.
