AI Platform Engineer
Qube Research & Technologies3 months ago
Mumbai, IndiaMid Level
Responsibilities
- Develop and maintain internal AI services and production APIs.
- Build and improve RAG pipelines covering document ingestion, embeddings, retrieval, and relevance optimization.
- Manage vector database performance, scalability, and data freshness.
- Support agentic workflows and integrate model-serving endpoints into application services.
- Define and monitor objectives for 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 deployment, rollout, versioning, and deprecation activities.
- Participate in operational support and incident response.
Requirements
- 4+ years of experience in software or platform engineering with exposure to AI/ML or LLM-based applications.
- Strong Kubernetes experience and familiarity with containerized environments.
- 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 ability to collaborate across technical and non-technical teams.
- Preferred: experience with agentic AI systems and workflow orchestration.
- Preferred: familiarity with LLM evaluation frameworks and quality measurement.
- Preferred: exposure to model-serving platforms and inference optimization.
- Preferred: understanding of embedding model trade-offs and retrieval performance.
- Preferred: experience with data engineering or AI-related data pipelines.
- Preferred: AWS or Kubernetes certifications.
Benefits
- QRT offers initiatives and programs supporting employee health and work-life balance.
- QRT is an equal opportunity employer committed to diversity and respectful collaboration.
Tech Stack
Categories
About Qube Research & Technologies
Qube Research & Technologies is a global quantitative and systematic investment manager that develops and trades data-driven strategies across liquid asset classes for institutional investors. The firm manages client capital and proprietary funds, earning management and performance fees. Founded in 2018 and headquartered in London, it operates with offices in 16 locations worldwide.