102K–102K GBP / year

AI Application Engineer, EMEA

AIRemote — United Kingdom, EMEA
Published on 2026-11-11
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Build and deliver production-grade agentic AI solutions on the Seeq platform for process manufacturers. The role spans customer use-case discovery, solution architecture, Python-based agent development, integrations, enablement, and ongoing solution improvement.

About the company

Seeq provides advanced analytics software for process manufacturing industries to turn industrial time-series data into operational insights.

The team

Customer Success

Stack

PythonSeeq Agent QSeeq Agent BuilderSeeq WorkbenchSeeq OrganizerSeeq VantageSeeq Data LabSPy

What you'll do

  • Design and build reusable AI agents and multi-step workflows for industrial use cases.
  • Develop Python Skills, Code Tools, and integrations with enterprise systems and data sources.
  • Create Seeq solution components such as dashboards, KPIs, condition monitors, and templates.
  • Apply software engineering, security, and AI evaluation practices to production solutions.
  • Partner with product, software, industry, sales, and revenue teams on solution delivery and demonstrations.
  • Create enablement materials and coach customers and partners on agent design and deployment.
  • Monitor adoption and solution quality, and improve reusable agent patterns.

What we're looking for

  • Proficiency in Python, REST APIs, maintainable code, and libraries such as Pandas.
  • Hands-on experience building and deploying AI agents or LLM-powered workflows.
  • Process manufacturing experience and ability to translate operational needs into analytics workflows.
  • Time-series analytics skills, including anomaly detection, event detection, and KPI design.
  • Experience with industrial historians or OT data platforms.
  • Hands-on experience with Seeq Workbench, Organizer, Vantage, and Data Lab.
  • Customer-facing delivery experience leading pilots or proofs of concept through production.
  • Bachelor’s degree or equivalent relevant experience in a related technical discipline.

Nice to have

  • Integrations with Microsoft Copilot, Copilot Studio, SharePoint, Power Platform, or Microsoft Fabric.
  • CMMS integration experience, such as IBM Maximo.
  • Cloud and data platform experience with Azure, AWS, GCP, Databricks, or Snowflake.
  • Experience with Git, code review, testing, CI/CD, containers, observability, and credential security.
  • Strong technical communication and experience delivering demos and workshops.

Benefits

  • Unlimited paid time off.
  • Internet and mobile phone reimbursements.
  • Vacation bonus program.
  • Home office allowance.
  • Pet-friendly workspace.
View original job post