AI Enablement Engineer

Location: London, United Kingdom; minimum two days each week in the Soho office.

Company

hirify.global is building company-wide capabilities to enable secure, practical AI adoption across Engineering and business teams.

What you will do

• Enable AI adoption by providing infrastructure, tooling, shared services and hands-on support, with a focus on Engineering.
• Design, deploy and maintain model access, gateways, agent frameworks, developer tooling and reusable AI platform patterns.
• Build, deploy and operate AI agents and agentic workflows from prototype through reliable production use.
• Deploy and optimize cloud and self-hosted AI infrastructure, including model serving, hardware utilization and cost-efficient scaling.
• Build data pipelines and contribute to data lake and lakehouse architecture for retrieval, analytics and evaluation.
• Implement security, governance and guardrails while partnering with Engineering, Product, Security, Legal, Finance and citizen AI users.

Requirements

• Strong experience in AI Engineering, ML Engineering, platform engineering or a similar role, including taking AI solutions from prototype to production and operating them reliably.
• Hands-on experience building and operating AI agents and LLM-based applications in production, with a clear understanding of their risks and limitations.
• Strong experience with cloud platforms and cloud-native tooling, such as GCP or AWS.
• Strong proficiency in Python.
• Strong experience with CI/CD and automation, including infrastructure as code and version control.
• Practical data engineering experience, including ELT processes, data lakes and data modelling.
• A security-minded, pragmatic and proactive approach, with the ability to balance risk and velocity, work autonomously and set direction in a fast-moving area.
• Strong communication skills, including explaining technical topics to non-specialists and building relationships across the business.
• Genuine interest in technology, AI and the industry hirify.global serves.

Nice to have

• Experience tuning and serving local models on bare metal with tools such as vLLM, including GPU optimization.
• Experience with LiteLLM or similar LLM gateway and proxy tooling.
• Experience with GCP data and lakehouse tooling such as BigQuery, BigLake, Dataplex and Dataflow.
• Experience with MLOps and LLMOps, including evaluation frameworks, observability and model lifecycle management.
• Experience supporting non-technical or citizen developer communities with AI and low-code tooling.
• Experience in Media and Entertainment, VFX or creative software industries.

Culture & Benefits

• Permanent employment with a pragmatic, right-sized approach suited to a 300-person company.
• 25 days of holiday plus bank holidays, with an additional Anniversary Day off and Passion Days.
• Pension scheme, Life Assurance, health cash plan and medical insurance.
• Season ticket loan, company social events and Personal Annual Development Time.
• Support for safe AI adoption through documentation, workshops, demos, coaching and practical guardrails.