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Principal AI/ML Engineer

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Rapid7

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Rapid7 is seeking a Principal AI Engineer to lead the architectural evolution of our AI Center of Excellence. In this role, you will design and own the end-to-end distributed systems that make advanced ML, LLMs, and agentic AI reliable, scalable, and secure at an enterprise level.

Job Responsibility:

  • Own the end-to-end system architecture for AI, ML, and Agentic platforms, ensuring they are reliable, scalable, and secure
  • Design complex data ingestion pipelines, feature stores, and inference microservices that bridge the gap between research and production
  • Establish architectural standards and reference patterns for LLM orchestration, RAG systems, and multi-agent workflows
  • Lead architectural reviews as the final technical authority, making critical trade-offs across accuracy, latency, cost, and reliability

Requirements:

  • Exceptional ability to reason at the system and architecture level to make long-term technical decisions
  • Courageous and principled decision-making when navigating high-stakes, ambiguous problem spaces
  • Proven mentorship of Staff and Senior engineers, fostering growth in architectural thinking and technical rigor
  • Accountability for the long-term technical health and security of AI systems across multiple teams
  • 13+ years of experience in Data Science, ML Engineering, or Applied AI with a focus on large-scale systems
  • Hands-on mastery of LLM orchestration frameworks such as LangChain and LangGraph for agentic workflows
  • Deep expertise in designing RAG pipelines and managing vector database retrieval at scale
  • Advanced proficiency in AWS ecosystems, specifically Bedrock, SageMaker, EKS, and Lambda
  • Expertise in MLOps standards, including model registries, drift detection, and automated retraining frameworks
  • Strong background in deep learning for NLP and sequence-based problems like malware behaviour modelling
  • Proficiency in Infrastructure as Code (Terraform) and CI/CD for ML workloads
  • Experience implementing robust guardrails and evaluation frameworks (e.g., Promptfoo, HELM) for autonomous systems

Additional Information:

Job Posted:
February 13, 2026

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