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AI Ops Engineer (Product)

kernelLondon Product
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Salary
£60K – £85K
Job type
Full-time
Experience
Mid · 2+ yrs
Posted
29 Sept 2026
Status
Open · checked 7d ago

About this role

This AI Ops Engineer position is based in London at Kernel and suits a hands-on builder with a passion for practical AI workflows and rapid problem-solving. Candidates who thrive in fast-paced startup environments and enjoy eliminating manual inefficiencies will find this role an ideal match.

Role Overview

Kernel is hiring an AI Ops Engineer for the product team to design and deploy internal systems that support organizational scaling without unnecessary manual labor. The professional in this position collaborates closely with engineering, product, and customer support to identify critical bottlenecks and deliver functional AI-powered solutions. Reporting directly to the co-founder who oversees Product, Engineering, and Client Delivery, this team member takes vague business challenges and transforms them into reliable production-grade tools.

Key Responsibilities

Lead technical customer support automation initiatives utilizing documentation, model context protocols, and appropriate artificial intelligence tooling in coordination with engineers.
Construct workflows that convert user-reported data issues into test cases for error tracking and continuous improvement measurement.
Develop automated workflows to track product modifications and maintain up-to-date documentation.
Create specialized utilities to assist the sales department in preparing and executing demonstrations with relevant account information.
Handle maintenance and long-term ownership of deployed workflows while adapting to shifting company priorities.

Requirements

Demonstrated history of launching practical tools, automations, or artificial intelligence workflows that see daily usage, typically within a compact and rapid startup setting.
Strong product curiosity and desire to understand operational dynamics within fast-moving organizations.
Deep familiarity with testing emerging models, agents, model context protocols, and workflows while applying sound judgment for reliable adoption.
Solid data instincts capable of transforming fragmented information into trustworthy automated processes.
Natural inclination to identify broken or manual processes, build corrective measures, and ensure lasting fixes.

Skills and Tools

APIs
Automation platforms
Coding agents
Data pipelines
Lightweight code
Model context protocols (MCPs)

Salary and Benefits

Annual salary between £60,000 and £85,000 alongside company equity
Twenty-four days of annual holiday plus bank holidays
Monthly office dinner allowance of £450
Two weeks of remote work from any location
Parental leave policy and pension plan
Top-specification hardware equipment
Central London office location with required in-person attendance four to five days weekly
Regular team events and shared dinners

About the Company

Kernel develops a business identity layer and registry issuing permanent KERN IDs for enterprises, providing critical context for autonomous agents. Backed by fourteen million dollars in funding from prominent venture capitalists and operators from organizations like OpenAI, Slack, and Plaid, the enterprise experiences rapid year-over-year growth.

How to Apply

Candidates should visit the official company careers page to submit their application for this position.

Skills and tech stack

APIsAutomation platformsCoding agentsData pipelinesMCPsLLM

Questions candidates ask

Where is the job located?

The role is located in London, and the team works together in the office four to five days a week.

What is the salary range for this role?

The salary ranges from £60,000 to £85,000 per year, plus equity.

Do I need a traditional software engineering background?

No, artisanal programming experience and a traditional software engineering background are not required.

How many years of experience are required?

Around 2 to 5 years of experience is typical, though what you have built matters more than exact years of experience.

Who does this position report to?

The AI Ops Engineer reports to Marcus Henglein, the co-founder who leads Product, Engineering, and Client Delivery teams.

Ready to apply?

The application is on the official kernel careers page.

Apply on company site