Platform Engineer (AI)

Location: London, United Kingdom; hybrid working with time in the London office and time working from home

Company

hirify.global is building an AI platform for autonomous driving that enables vehicles to learn from real-world experience and supports scalable deployment across vehicle manufacturers.

What you will do

• Design and build Python services and microservices for the end-to-end AI model release workflow.
• Integrate feature candidates into release branches and automate readiness checks before training.
• Connect training platforms and APIs to coordinate behavioural-cloning, reinforcement-learning, and subsequent training stages.
• Trigger simulation and on-road tests, collect results, and expose quality gates, approvals, and release status.
• Productionise cloud-native services on Azure and Kubernetes, improving availability, scalability, performance, monitoring, and alerting.
• Use AI coding agents and LLM tools to investigate issues, automate manual work, and accelerate delivery.

Requirements

• Strong software or platform engineering experience building reliable production services or microservices, ideally with Python.
• Hands-on experience with Kubernetes, cloud-native infrastructure, and production service operations.
• Strong system-design skills across distributed workflows, APIs, orchestration, and multi-system integrations.
• Experience establishing observability through metrics, logging, tracing, monitoring, and alerting.
• Ability to collaborate across organisational boundaries, agree dependable interfaces, and manage conflicting priorities.
• Confident, practical use of AI coding agents or LLM tools in day-to-day engineering work.

Nice to have

• Azure experience.
• Experience with MLOps, model productionisation, training pipelines, evaluation, simulation, or model-release workflows.
• Front-end development experience, particularly with React.

Culture & Benefits

• Hybrid working with core hours and opportunities to work hands-on in vehicle workshops and labs.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salaries, meaningful equity, and location-dependent benefits.
• Learning and development budgets supporting training, conferences, and professional growth.
• Health insurance, dental coverage, enhanced maternity and paternity leave, retirement or pension benefits where applicable, therapy access, wellbeing partnerships, and team socials.

Hiring process

• Initial recruiter call lasting 30 minutes.
• Competency interviews including a Python programming interview and hiring manager interview.
• Deep-dive technical interviews covering software operations, MLOps, and system design, followed by a final values and overall-fit interview.