Forward Deployed Engineer

Forward Deployed Engineer

Morela is working exclusively with one of Europe’s fastest-growing AI startups to find a Forward Deployed Engineer who thrives at the intersection of engineering excellence and real-world customer impact. This is a rare opportunity to join a high-growth business at an exciting stage.

The Role

You will work directly with enterprise customers in-person, understanding their critical workflows, designing AI-driven solutions, and deploying agents that operate reliably in production. You will own projects end-to-end – from problem definition and system design through to launch and iteration – and be accountable for real business outcomes.

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 and Engineering to ship high-quality solutions
• Contribute to tools, documentation, and best practices that scale customer deployment

What We’re Looking For

• 3+ years of experience in technical problem-solving roles
• Experience leading or contributing to solution scoping, discovery workshops, or early-stage AI/technical strategy
• Strong fundamentals in software design and system design
• Clear communication skills and a strong ownership mindset
• High-agency – comfortable creating clarity, proposing direction, and driving decisions without perfect requirements
• Experience working across systems, integrations, and data flows
• Comfort working directly with customers and owning ambiguous problems
• Genuine curiosity about building AI-powered systems that work in practice

Nice to Have

• Experience in forward-deployed, solutions engineering, or customer-facing technical roles
• Exposure to AI agents, automation, or conversational systems
• Experience operating and improving production systems
• Bachelor’s degree in Computer Science or a related technical field, or equivalent experience