AI Platform Engineer

Role Overview

As an AI Platform Engineer, you will be instrumental in building and operating the internal AI application platform, empowering researchers, developers, and data scientists with LLM-powered tools. You will focus on production AI services, including RAG systems, agentic workflows, and retrieval infrastructure. This role is available due to ongoing growth and a commitment to enhancing AI capabilities.

Key Responsibilities

• Develop and maintain internal AI services and APIs.
• Build and improve RAG pipelines, including document ingestion, embeddings, retrieval, and relevance optimisation.
• Manage vector database performance, scalability, and data freshness.
• Design clear, well-documented APIs for internal users.
• Support agentic workflows and the services they depend on.
• Integrate model serving endpoints into application-layer services.
• Define and monitor service objectives around latency, reliability, and retrieval quality.
• Implement prompt management, versioning, evaluation, and testing frameworks.
• Build resilient systems with fallback and degradation mechanisms.
• Implement monitoring, tracing, logging, and quality metrics across AI services.
• Manage service lifecycle activities, including deployment, rollout, versioning, and deprecation.
• Participate in operational support and incident response.

Key Skills & Experience

• 4+ years of experience in software or platform engineering, with exposure to AI/ML or LLM-based applications.
• Strong Kubernetes experience and familiarity with containerised environments.
• Good knowledge of AWS, networking fundamentals, IAM, and cloud infrastructure.
• Hands-on experience building and operating production RAG systems.
• Experience with vector databases and retrieval systems.
• Strong Python skills and experience building production APIs and services.
• Understanding of LLM fundamentals, including prompting, context management, token constraints, and output reliability.
• Strong communication skills and the ability to collaborate across technical and non-technical teams.

Salary & Benefits

• Salary: highly competitive
• Bonus: competitive annual performance bonus
• Outstanding benefits

Development & Growth

• Clear path to Senior and Lead roles
• Access to internal training resources and mentoring
• Regular hackathons and conference budgets