Senior Backend Engineer: Machine Learning Infrastructure

About this role

Build and operate backend services and platform capabilities that help product and ML teams develop, deploy, and run machine learning workloads at scale. The role includes end-to-end ownership of core services and data pipelines, with a focus on reliability, performance, and self-service infrastructure.

About the company

Constructor is an AI search and product discovery platform for ecommerce that helps retailers improve conversion through personalized search and recommendations.

The team

ML Infrastructure team

Stack

What you'll do

• Design, build, and operate high-load distributed backend services for ML infrastructure
• Own core ML services and data pipelines through design, deployment, observability, and continuous improvement
• Partner with ML and product teams to build reliable, reusable platform capabilities
• Evaluate technical trade-offs, make design decisions, and own outcomes

What we're looking for

• 5+ years of backend or platform engineering experience
• Extensive Python knowledge
• Hands-on experience with a public cloud or self-managed Kubernetes
• Experience designing and building distributed, high-load services and APIs
• Strong knowledge of data structures, algorithms, and their trade-offs
• Design-driven approach and effective use of modern AI coding tools
• Proactive ownership and a collaborative attitude

Nice to have

• Experience with Rust, C, C++, or Go
• Experience building or contributing to ML platforms or infrastructure
• Experience operating a vector database
• Experience with model serving or inference infrastructure, including LLMs
• Experience with Infrastructure as Code such as Terraform

Benefits

• Unlimited vacation; employees are encouraged to take at least three weeks per year
• Fully remote work
• Work-from-home stipend
• Apple laptop provided
• Annual training and development budget
• Maternity and paternity leave for qualified employees
• Stock options
• Regular team offsites