Forward Deployed Engineer, Dublin at Protex AI

Job description

The physical world generates an extraordinary amount of data, yet most of what happens inside manufacturing and logistics sites remains invisible to the systems that run them. At Protex AI, we're changing that. We're building Site Intelligence, an AI platform that connects cameras, enterprise systems and operational knowledge to give businesses a real-time understanding of what's happening across their operations. Our computer vision technology transforms video into structured operational data, while AI agents turn that data into insights, investigations and actions. We're helping some of the world's largest enterprises improve safety, eliminate inefficiencies and increase productivity. We've built a strong foundation in safety. Now we're expanding into a much bigger opportunity: using AI to fundamentally change how industrial operations are understood, managed and optimised. Interested in creating a new category with us? We're looking for high-agency people who thrive in ambiguity, move quickly and care deeply about solving real problems. The Role This is not a traditional software engineering role. As a Forward Deployed Engineer (FDE), you'll sit at the intersection of engineering, product and our customers, turning complex operational challenges into working AI-powered solutions. You'll work directly with enterprise customers, understand their problems, get hands-on with their data and build solutions that deliver measurable business outcomes. One week you might be combining computer vision and enterprise data to understand why throughput is falling. The next, you could be building an AI agent that investigates production bottlenecks or prototyping a capability that becomes part of the core Protex platform. You'll have access to our computer vision infrastructure, enterprise data layer, AI agents and development tools to move quickly. You'll be expected to push the boundaries of what's possible with modern AI engineering tools. But you won't just build what customers ask for. You'll explore their data, challenge assumptions and uncover opportunities they didn't know existed. You'll be an engineer, a problem solver and a product builder. What you build in the field will directly shape what Protex builds next. What You'll Do Build and own customer solutions • Work directly with customers to understand their operational challenges and translate ambiguous problems into working technical solutions. • Own solutions end-to-end, from technical discovery and rapid prototyping through to production deployment and handover. • Build full-stack applications, AI agents, integrations and workflows on top of the Protex platform. • Connect enterprise systems and data sources, combining operational context with computer vision to unlock new capabilities. • Validate technical feasibility during pre-sales and build proofs of value where needed. Push the boundaries of applied AI • Build with LLMs, vision-language models, agentic workflows and modern AI engineering frameworks. • Leverage AI development tools such as Codex and Claude Code to dramatically accelerate development, experimentation and delivery. • Prototype new platform capabilities, rapidly test hypotheses against real customer data and turn successful experiments into production solutions. • Make pragmatic architectural decisions, balancing speed, reliability and reusability. Discover opportunities and shape the product • Proactively investigate customer data to uncover inefficiencies, operational risks and opportunities beyond the original use case. • Work with Solutions Engineering and Customer Success to turn discoveries into new customer value. • Identify repeatable patterns across deployments and work with Product and Engineering to turn custom solutions into scalable platform capabilities. • Document solutions and ensure they can be maintained, supported and reused. What We're Looking For We're looking for high-agency engineers who thrive in ambiguity, move quickly and care de