Senior AI Platform Engineer

Responsibilities

• Architect and maintain end-to-end machine learning training pipelines on AWS using SageMaker, EKS, and Step Functions
• Build infrastructure for production agentic applications using Amazon Bedrock and Bedrock AgentCore
• Implement AI/ML governance best practices for model versioning, testing, validation, and security
• Integrate MLOps best practices with SDLC, security, and infrastructure standards
• Partner with data scientists and software engineers to operationalize ML models at scale
• Mentor junior engineers and foster a culture of engineering excellence

Requirements

• 5+ years of software engineering experience with a focus on ML operations and infrastructure
• Strong proficiency in Python
• Hands-on experience with AWS ML platforms (SageMaker, Bedrock, Bedrock AgentCore)
• Proven experience operationalizing LLMs and building infrastructure for agentic applications (RAG, orchestration, memory)
• Experience with CI/CD, infrastructure-as-code, and containerization
• Familiarity with ML frameworks like PyTorch, Scikit-Learn, Spark, or TensorFlow
• Knowledge of continuous retraining and drift monitoring

Preferred Qualifications

• Degree in Computer Science, Mathematics, Statistics, or Engineering
• Experience with GCP (Vertex AI)
• Familiarity with Go or JavaScript

Benefits

• Unlimited PTO
• Up to 24 weeks of parental leave
• Excellent health benefits
• Monthly fitness and cell phone stipends
• Conference benefits and continuous learning opportunities

About the Company

Expel builds the infrastructure that lets defenders win using AI, providing meaningful problems and a collaborative environment for engineers and researchers.