Forward Deployed Engineer

Protex AI Limited; Ireland; Hybrid; EUR 95,000 - 140,000; Full time

Benefits offered by this job

Company Laptop (Mac or Windows)

Employee Share Option Programme

Monthly Company Events

Pension Scheme

Health Insurance & Wellbeing Allowance

Truly Unlimited Holidays

Nomad Working for 20 Days

Remote and Hybrid working

Job summary

Protex AI Limited seeks a Forward Deployed Engineer to join our team and work directly with enterprise customers. You will translate complex challenges into AI-powered solutions, building full-stack apps, AI agents and integrations atop the Protex platform.

You will explore data with customers, validate feasibility, prototype capabilities and deliver production-ready deployments, shaping the product with real-world feedback.

Qualifications

• Several years of experience building and shipping production software across the stack.
• Experience with AI engineering or ML-powered solutions for customers.
• Comfortable working directly with enterprise stakeholders and translating problems into software.

Responsibilities

• Build and own customer solutions from discovery to production deployment.
• Develop full-stack applications, AI agents, integrations and workflows on Protex platform.
• Collaborate with Solutions Engineering and Customer Success to deliver customer value.

Skills

Full-stack development

AI engineering

Customer communication

Data pipelines

API integrations

Applied AI

Forward Deployed Engineering

LLMs & agents

Vision-Language models

Software architecture

Education

Bachelor's degree in Computer Science

Tools

Codex

Claude Code

AI development tools

Job description

• 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
• 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

Benefits

• Company Laptop (Choice of Mac or Windows)
• Participation in Employee Share Option Programme
• Monthly Company Events
• Pension Scheme
• Health Insurance & Wellbeing Allowance
• Truly Unlimited Holidays
• Nomad Working for 20 Days
• Remote and Hybrid working opportunities

Modern AI development: Hands‑on experience using AI coding tools such as Codex, Claude Code or similar to build, iterate and ship software significantly fasterStrong engineering foundations: Several years of experience building and shipping production software, with deep expertise in either full‑stack development or AI engineering and the versatility to work across the stackCustomer communication: Confidence working directly with technical and non‑technical stakeholders, from enterprise IT teams to operational leadersData and integrations: Comfortable working with APIs, SQL, data pipelines and complex enterprise systems, including unfamiliar or poorly documented environmentsApplied AI expertise: Experience building with LLMs, agents, AI APIs or modern AI frameworks, with a strong understanding of how to turn AI capabilities into reliable applicationsWe’re looking for high-agency engineers who thrive in ambiguity, move quickly and care deeply about solving real problemsYou don’t need to have worked in manufacturing or logistics before. You do need to be technically excellent, commercially curious and comfortable taking ownership well beyond writing codeOwnership and execution: A bias for action, strong independent problem‑solving skills and the ability to take something from an ambiguous idea to working software in daysProduct thinking: The ability to understand a business problem, challenge assumptions and design a pragmatic solution rather than simply implementing requirementsExperience in forward deployed engineering, solutions engineering or customer‑facing technical rolesExperience with computer vision, multimodal AI or vision‑language modelsExperience working in a high‑growth startup where speed, adaptability and ownership matterExposure to manufacturing, logistics, industrial automation or operational technology