Edge AI Engineer — Build LLMs for Connected Hardware

Diver5ify; Belfast City District; Hybrid; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Ground-floor opportunity with hardware

High autonomy and direct influence on?

Job summary

Diver5ify is seeking an AI Engineer to shape the intelligence layer behind its stealth-mode hardware/AI devices for security and public safety. You will join a senior team to design, build, and deploy LLM-powered features directly on connected hardware, from data pipelines to real-world deployment.

You’ll collaborate with hardware/firmware teams, use MCP for integration, and own end-to-end AI projects in a fast-growing startup with high autonomy and impact.

Qualifications

• Proficient Python development for LLM-based applications.
• Experience with MCP or similar agent/orchestration frameworks.
• Cloud deployment and scaling of AI workloads (AWS/Azure).

Responsibilities

• Design, build, and deploy LLM-powered features into production on hardware-integrated systems.
• Integrate AI with data sources using MCP and related tooling.
• Develop and maintain AI/ML infrastructure on AWS and/or Azure.
• Collaborate with hardware/firmware teams to ship edge AI capabilities.
• Own projects end-to-end from prototype to production in a fast-moving startup.

Skills

Python

MCP

Edge devices exposure

Startup experience

Cloud experience (AWS/Azure)

Tools

AWS

Azure

Job description

Diver5ify is seeking an AI Engineer to shape the intelligence layer behind its stealth-mode hardware/AI devices for security and public safety. You will join a senior team to design, build, and deploy LLM-powered features directly on connected hardware, from data pipelines to real-world deployment.

You’ll collaborate with hardware/firmware teams, use MCP for integration, and own end-to-end AI projects in a fast-growing startup with high autonomy and impact.