Senior AI Platform Engineer

New
E
ExpelCybersecurity and AI
RemoteFull-TimeSenior
Salary$142,900 USD and $207,200 USD + bonus eligibility and equity
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Job Details

Experience
5+ years of relevant software engineering experience
Required Skills
AWSPythonKubernetesCI/CDMLOps

Requirements

  • 5+ years of relevant software engineering experience with a focus on ML operations and infrastructure.
  • Strong Python proficiency; familiarity with Go or JavaScript is a plus.
  • Solid experience with CI/CD pipelines, infrastructure-as-code, and containerization for ML workloads.
  • Hands-on experience with cloud-based ML platforms, specifically AWS (SageMaker, Bedrock, Bedrock AgentCore).
  • Proven experience operationalizing LLMs and building infrastructure for complex agentic applications.
  • Experience with agent orchestration, memory, tool calling, and RAG architectures.
  • Familiarity with ML frameworks including Scikit-Learn, PyTorch, Spark, and TensorFlow.
  • Working knowledge of continuous retraining, concept drift monitoring, and data drift detection.
  • Strong communication and collaboration skills to work with diverse stakeholders.
  • Demonstrated ability to mentor others and contribute to engineering standards.
  • Degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field is preferred.

Responsibilities

  • Architect and maintain end-to-end machine learning training pipelines on AWS (SageMaker, EKS, Step Functions).
  • Build and maintain infrastructure for production agentic applications using Amazon Bedrock and Bedrock AgentCore.
  • Implement AI/ML governance best practices for model versioning, testing, validation, maintenance, and security.
  • Integrate MLOps best practices with Expel's SDLC, security, and infrastructure standards.
  • Partner with data scientists, software engineers, and stakeholders to operationalize ML models at scale.
  • Mentor junior engineers and foster a culture of engineering excellence.
  • Create documentation, internal tooling, and enablement resources for ML systems.
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$142,900 USD and $207,200 USD + bonus eligibility and equity
Apply Now