AI Applications Engineer, Intelligence Platform (EMEA)

Seeq Corporation; United Kingdom; Remote; GBP 92,000 - 112,000; Full time

Benefits offered by this job

Unlimited PTO

Internet reimbursement

Vacation bonus program

Home office allowance

Job summary

Seeq Corporation is seeking an AI Applications Engineer to design, build, and deliver production-grade agentic AI solutions on the Seeq platform. You will craft Python-based agents and skills that interface with Agent Q, Seeq Intelligence, and enterprise data sources for industrial use cases.

The role combines solution engineering with deep software development, enabling scalable anomaly-to-action workflows and customer enablement across industries worldwide in a remote-first environment.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Chemical, Mechanical, Electrical, Industrial, or Systems Engineering, Applied Math, Data Analytics, or related discipline — or equivalent relevant experience.
• Strong Python programming skills and software engineering practices.

Responsibilities

• Design and build scalable AI agents that extend and orchestrate Agent Q for multi-step industrial workflows.
• Develop custom AI agents that interface with Seeq Intelligence and external systems via APIs.
• Create Skills and Code Tools in Python to access CMMS, historians, and enterprise data sources.
• Package reusable agentic solutions with prompts, datasets, and validation plans for delivery.
• Collaborate with cross-functional teams to align Intelligence solutions with roadmaps.

Skills

Python

Agent Q

Agent Builder

Seeq Workbench

Education

Bachelor’s degree in Computer Science or related field

Tools

Seeq Data Lab

SPy library

REST APIs

Job description

Seeq Corporation is seeking an AI Applications Engineer to design, build, and deliver production-grade agentic AI solutions on the Seeq platform. You will craft Python-based agents and skills that interface with Agent Q, Seeq Intelligence, and enterprise data sources for industrial use cases.

The role combines solution engineering with deep software development, enabling scalable anomaly-to-action workflows and customer enablement across industries worldwide in a remote-first environment.