Senior AI Platform Engineer

What Expel can do for you

• Give you hard, meaningful problems — building the infrastructure that lets defenders win using AI
• Connect you with a collaborative team of engineers, data scientists, and researchers who care about doing it right
• Offer unlimited PTO (that leadership models and encourages), up to 24 weeks of parental leave, and really excellent health benefits
• Pay you a monthly fitness and cell phone stipends — no receipts required
• Support your professional growth with a conference benefit and continuous learning opportunities
• Offer full remote flexibility — work from wherever you do your best work

What you can do for Expel

Build and scale ML infrastructure

• Architect and maintain end-to-end machine learning training pipelines on AWS (SageMaker, EKS, Step Functions) to ensure reliable and reproducible model development and deployment
• Build and maintain infrastructure for production agentic applications using Amazon Bedrock and Bedrock AgentCore — including agent runtimes, memory, secure gateways, and observability at scale
• Contribute to the architectural evolution of our ML platform, including evaluating MLOps tooling and participating in buy vs. build decisions

Operationalize with rigor

• 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, working alongside SRE, Platform Engineering, and Security teams
• Drive quality, reliability, and scalability improvements through thoughtful engineering and monitoring

Collaborate and enable

• Partner with data scientists, software engineers, and stakeholders to operationalize ML models reliably and at scale
• Mentor and support junior engineers; foster a culture of engineering excellence
• Create and maintain documentation, internal tooling, and enablement resources so practitioners across Expel can work effectively with ML systems
• Stay current with the MLOps landscape and bring relevant innovations back to the team

What you should bring with you

Collaboration & communication

• Clear communicator — able to write documentation and explain technical concepts to both engineering and non-technical audiences
• Strong collaborator with engineers, product managers, and business stakeholders
• Demonstrated ability to mentor others and invest in the growth of the people around you
• Balances near-term delivery with longer-term technical quality

Technical depth

• Strong Python proficiency; familiarity with other languages (Go, JS) is a plus
• Solid experience with CI/CD pipelines and infrastructure as code (Terraform, CDK, or equivalent)
• Deep understanding of containerization (Docker, Kubernetes) and associated operational patterns
• Experience building and operating ML training pipelines and inference infrastructure on AWS (SageMaker, EKS, Bedrock)
• Familiarity with MLOps concepts such as feature stores, model registries, and experiment tracking