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RenaissanceRe

Global reinsurance provider mitigating catastrophic risks

AI Platform Engineer

Platform EngineeringUpdated on Nov 15
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • Strong software engineering skills in Python, including experience building APIs, microservices, and cloud-native services.
  • Cloud-native development and containerization experience with Docker; the platform runs primarily on AWS, including Bedrock and AgentCore.
  • Familiarity with continuous integration and continuous delivery (CI/CD) and platform-engineering practices.
  • Hands-on experience developing AI agents, retrieval-augmented generation (RAG) frameworks, tool/function calling, and multi-step workflows.
  • Practical experience with at least one AI orchestration framework, such as LangGraph or CrewAI.
  • Working knowledge of vector databases and retrieval systems, such as Qdrant or PGVector.
  • Working understanding of security, identity, and access control as applied to services, models, tools, and integration endpoints.
  • Awareness of data handling, privacy, and responsible AI considerations when working with model providers.

Responsibilities

  • Develop reusable components and tools and make them accessible for consumption.
  • Support proofs of concept to evaluate third-party and open-source capabilities, testing their capabilities and technical fit against build options.
  • Use DevOps skills to create secure and scalable deployments for AI tools and capabilities.
  • Support the development or provisioning of security, compliance, privacy, and responsible AI controls.
  • Build and maintain integrations between the AI platform and enterprise systems, data platforms, and business applications.
  • Operate and extend deployment, monitoring, and governance capabilities for AI solutions, keeping them scalable and reliable.
  • Implement and extend testing, evaluation, and quality-assurance frameworks for AI applications.
  • Implement and operate security, compliance, privacy, and responsible AI controls across the platform.
  • Support teams in optimizing the performance, reliability, and cost efficiency of AI workloads.
  • Produce technical documentation and apply and help refine platform standards and best practices.
  • Partner with product, platform, data, and engineering teams to support and accelerate adoption.

Desired Qualifications

  • Experience with AI observability, evaluation, and monitoring tools such as LangSmith, Braintrust, or DeepEval.
  • Experience orchestrating with Kubernetes.
  • Knowledge of enterprise integration patterns and robust API design.
  • MLOps or LLMOps experience.
  • Exposure to more than one major cloud.
  • Experience applying governance and compliance controls in a regulated industry.
  • Systems thinking with a bias toward reusability, scalability, and developer experience.
  • Exposure to insurance or reinsurance.

About the Company

RenaissanceRe

Global reinsurance provider mitigating catastrophic risks

RenaissanceRe is a leading reinsurance provider that helps multinational corporations and government entities manage risk in a volatile world. It underwrites and prices reinsurance coverage to protect clients against large, unexpected losses from events like natural disasters, cyber incidents, and societal upheaval, and it pays claims to help businesses stay open and communities rebuild. The company combines data, experience, and technology to model risk, forecast potential losses, and respond quickly with innovative solutions. RenaissanceRe differentiates itself through a long track record of technical excellence, a history of developing new technologies since 1993, and a reputation as a trusted partner with a focus on quantifying and managing risk. Its goal is to protect communities and enable prosperity by supporting clients through disasters and enabling resilient operations through advanced technology and decision-making.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Pembroke, MA
Founded
1993

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