AI Platform Engineer

• 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

Your present skillset:

• 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

• Experience with agentic AI systems and workflow orchestration
• Familiarity with LLM evaluation frameworks and quality measurement
• Exposure to model serving platforms and inference optimisation
• Understanding of embedding model trade-offs and retrieval performance
• Experience with data engineering or AI-related data pipelines
• AWS or Kubernetes certifications

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.