28 days 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.
Qube Research & Technologies

About Qube Research & Technologies

1,001-5,000 employees
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