Field AI Engineer: Build & Deploy Enterprise Solutions

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

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.