AI Engineer - Remote

Owlis Technology Limited; London Borough of Southwark; Hybrid; GBP 90.000 - 130.000; Vollzeit

Zusammenfassung

Owlis Technology Limited is seeking an AI Engineer to design, build and deploy LLM-based solutions for client environments, often on-site with clients and remotely within the UK. You will work under the Head of AI to deliver AI assistants, agents and automations while ensuring security, testing and maintainable handover.

The role emphasizes client-facing delivery, strong Python/C# development, API integrations, and governance across deployments.

Qualifikationen

• Built and shipped applications using large language models (assistants, RAG, or agents).
• Writes production-quality Python or C# code with version control and testing.
• Has integrated AI or applications with business systems through APIs (e.g., Microsoft Graph).
• Builds with security and data protection in mind: least privilege and secrets handling.
• Able to work directly with client users to understand problems and explain what was built.

Aufgaben

• Design, build and deploy LLM applications for clients: assistants, retrieval over documents, agents and AI-assisted workflows.
• Integrate with client systems through APIs with scoped permissions.
• Choose models and services to fit client needs and budget, with Head of AI guidance.
• Use version control and deployment pipelines for all shipped work.
• Work on site or remotely with client staff to test with real users and provide plain-language explanations.
• Maintain security, evaluation sets and handover documentation; log work in HaloPSA.
• Contribute connectors, templates and prompt/evaluation sets to a shared library for internal use.
• Meet KPIs: deliver repeatable propositions, show architecture decisions and successful client outcomes.

Kenntnisse

LLM apps

Python

C#

Version control

APIs

Security

Client communication

Tools

Azure OpenAI

Azure AI Foundry

Azure AI Search

Copilot Studio

Power Platform

HaloPSA

Jobbeschreibung

Knightsbridge, SouthEast SW1, United Kingdom

Full-time Permanent L3 - Senior / Specialist

Posted 17 Oct 2026

Description

Job title: AI Engineer

Report to: Head of AI

Location: Remote within the UK, with regular time on site with clients and our group companies, typically four to eight days a month

Hours: Monday to Friday, 09:00 to 18:00 (40 hours a week)

About us

Owlis is a UK IT managed services group, backed by private equity, that grows by bringing established regional IT providers together on one platform. Each business keeps its own name and its local relationships. Behind it sits one set of systems, one set of policies, and a group with the depth to support it properly. Together, we look after small and medium-sized businesses across the UK with managed IT, cybersecurity, and AI and transformation services.

About the role

When a client decides to use AI, someone has to build it, connect it to their systems and make it safe. This role works directly with clients, often on site, to build and deploy AI assistants, agents and automations on their data, then hands them over in a state our service desks can support.

Core systems

• Azure OpenAI, Azure AI Foundry and Azure AI Search
• Copilot Studio and Power Platform
• Python and/or C#, Git, Azure DevOps or GitHub
• Microsoft Graph and client system APIs
• HaloPSA for project time, tasks and handover to support

What you will be doing

Build and deploy

• Design, build and deploy LLM applications for clients: assistants, retrieval over documents, agents and AI-assisted workflows
• Integrate with client systems through APIs, with scoped permissions
• Choose models and services to fit the client's needs and budget, with the Head of AI
• Use version control, testing and deployment pipelines for everything we ship

Forward deployed with clients

• Work on site or remotely alongside client staff to understand the work and test with real users
• Explain what was built, how to use it and its limits in plain English
• Gather feedback after go-live and improve the build

Quality, security and support

• Build evaluation sets and monitoring for accuracy, cost and usage
• Apply least privilege, secrets management and client data handling rules
• Write handover documentation and runbooks for our service desks
• Record AI systems in our register with owners and risk ratings

Reuse and internal work

• Contribute connectors, templates and prompt and evaluation sets to a shared library
• Build internal AI tools for our own group companies
• Log time and tasks in HaloPSA

Outcomes and KPIs

• In the first 90 days: several client builds running, with reusable components (connectors, prompt and evaluation sets) in our shared library.
• By 6 months: 10 or more repeatable propositions delivered and rolled out to clients, each with standard scope, testing and handover.
• By 12 months: revenue targets met on the first 10 propositions, with more in flight.
• Clear evidence of building and shipping LLM applications to real users, with integrations and testing described
• Explains retrieval or tool design, prompt and model choices, cost control and failure handling from first-hand work, and is honest about mistakes
• Builds integrations and automations with error handling, logging, least privilege and scoped service accounts, and uses vendor features before custom code
• Listens to clients and gets examples, explains plainly what the tool can and can't do, and agrees a fix and a follow-up
• Designs a clear architecture (sources, indexing, permissions-aware retrieval, model, interface), talks through trade-offs and adapts when requirements change
• Uses security-trimmed retrieval, a tested evaluation set with agreed accuracy, and monitoring with a feedback loop, keeping data in the client's tenant where possible
• Owns mistakes and fixes them, follows through and manages expectations when things slip

Essential skills and experience

• Has built and shipped applications using large language models, such as assistants, retrieval over documents (RAG) or agents
• Writes production-quality code in Python or C#, with version control and testing
• Has integrated AI or applications with business systems through APIs, for example Microsoft Graph, a CRM or a ticketing tool
• Builds with security and data protection in mind: least privilege, secrets handling and safe use of client data
• Can work directly with client users to understand a problem and explain what was built

Desirable skills and experience

• Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search or Copilot Studio
• Has set up evaluation for AI outputs (test sets, accuracy measures, monitoring)
• Power Platform, Logic Apps or another workflow and integration tool
• Experience in an IT managed services provider or a client-facing engineering role
• Microsoft Azure AI Engineer Associate (AI-102) or similar certification
• Infrastructure as code or CI/CD pipelines in Azure

Development

We expect the role to grow into a senior or lead AI engineer as the practice scales. Certification (for example AI-102) is supported where it fits the work.

Our recruitment process

Our process usually has four stages:

• A short pre-screening call with our HR / Recruitment team.
• A competency interview with the Head of AI / Operations Director
• A live system design exercise with a client scenario and a technical assessment
• A short final call with an Owlis Group executive, after which we aim to make an offer.

Any offer is conditional on two satisfactory professional references from employers named on your CV (with a work email address for each), proof of your right to work in the UK and a basic DBS check, because the role has privileged access to client systems and data. We are unable to offer visa sponsorship.

Please note that this is a job advertisement rather than a full job description. The complete job description will be shared with you alongside your contract of employment.

Equal opportunities

The Owlis Group is an equal opportunities employer. We welcome applications from everyone and make recruitment decisions on the basis of skills, experience and potential, regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex or sexual orientation. If you need any adjustments to take part fully in the recruitment process, please let us know and we will be glad to help.