Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset

classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining

data, research, technology, and trading expertise has shaped QRT’s collaborative mindset, which enables us to solve the most

complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our

investors.

You will build and operate QRT's internal AI application platform, enabling researchers, developers, and data scientists to

leverage LLM-powered tools effectively and reliably. Your focus will be on production AI services, including RAG systems, agentic

workflows, retrieval infrastructure, and the APIs that make these capabilities available across the firm. You will work closely

with Platform Engineering and AI users to deliver scalable, high-quality solutions. You will own AI services used across the firm

and help shape how AI capabilities are delivered to researchers and engineers.

Your future role within QRT:

AI Platform Development

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

Platform Reliability & Quality

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

Operations & Observability

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

Nice to Have

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.

Roll

AI Platform Engineer

Kategori

Data/IT

Plats

Wrocław

Publicerad

26 juni

Sista ansökningsdag

16 augusti

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