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Ai and automation engineer, agentops

Manchester
Permanent
Manchester Digital
Automation engineer
€35,000 a year
Posted: 2 December
Offer description

Be among the first 25 applicants.

The AgentOps department empowers Business functions through the strategic design, development, deployment, and lifecycle management of advanced AI-powered solutions. Our main objective is to deliver significant improvements in operational efficiency and foster a culture of innovation, delivering seamless integration and orchestration with wider Business systems. You will be a hands‑on developer with a passion for automation, using workflow automation platforms to integrate AI capabilities into our Business systems. You will play a pivotal role in transforming manual processes and enabling pragmatic intelligent automation across the organisation.

This role is eligible for inclusion in the Company’s hybrid working from home policy.


Preferred Skills And Experience

* Experience working as an Automation Engineer, Software Developer, or relevant commercial experience.
* Strong programming skills.
* Expertise in working with RESTful APIs and other integration methods.
* Hands‑on experience with workflow automation platforms, such as n8n, Make, Zapier.
* Strong understanding of solution architecture and design principles.
* Exceptional analytical and problem‑solving abilities.
* Proven ability to work collaboratively within a cross‑functional team.
* Excellent organisational skills and acute attention to detail.


What you will be doing

* Developing and deploying robust and scalable AI agents and workflow solutions.
* Integrating AI solutions with various systems and data sources via APIs.
* Collaborating with the AgentOps Team Leader and key stakeholders to understand requirements and design effective, production‑grade automation solutions.
* Writing, testing, and maintaining high‑quality code and workflow configurations.
* Monitoring, debugging, and troubleshooting deployed AI agents to ensure high performance and reliability.
* Contributing to the full lifecycle management of AI solutions, including testing, versioning, and documentation.
* Analyzing and optimising workflows for efficiency, cost, and accuracy.
* Implementing advanced models into operational workflow by collaborating with the Innovation and Data Science teams.


Seniority level

* Entry level


Employment type

* Full‑time


Job function

* Engineering and Information Technology


Industries

* Technology, Information and Internet
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