Remote Enterprise AI Deployment Engineer

FabriXAI; Greater London; Hybrid; GBP 90,000 - 160,000; Full time

Benefits offered by this job

5-day work week

Remote- and hybrid-friendly culture

Flat company structure

Direct exposure to founders

Job summary

FabriXAI is seeking Forward-Deployed Engineers to embed with enterprise customers and ship production-grade AI deployments end-to-end. You will write the code that makes AI run inside the customer's business, not just consult.

The role supports remote and hybrid work, with a senior team and direct collaboration with founders and product architects. As part of a small, experienced team, you will build reusable reference solutions, own deployment outcomes, and contribute to a growing AI-native

Qualifications

• Strong full-stack engineering background with production systems experience.
• Experience building with LLMs and agents in production is highly preferred.
• Solid understanding of REST APIs, security patterns, and auth (OAuth, SSO, SAML).

Responsibilities

• Own end-to-end technical delivery from kickoff to production handover.
• Design AI workflows, agents, and pipelines inside customer environments.
• Integrate with customer systems (CRM, ERP, data warehouse, APIs, SSO).
• Collaborate with IT, security, and compliance to clear blockers.
• Maintain proactive engagement cadence with customers and stakeholders.
• Transfer knowledge to customer engineers at project end and create reusable assets.

Skills

Python/Node.js/Go

React/Vue/Next.js

Cloud architecture (AWS/Azure/GCP)

Data engineering

LLMs & agents

REST APIs & security

Job description

FabriXAI is seeking Forward-Deployed Engineers to embed with enterprise customers and ship production-grade AI deployments end-to-end. You will write the code that makes AI run inside the customer's business, not just consult.

The role supports remote and hybrid work, with a senior team and direct collaboration with founders and product architects. As part of a small, experienced team, you will build reusable reference solutions, own deployment outcomes, and contribute to a growing AI-native