Senior AI Infra Platform Engineer

Cornerstone Research; Boston (MA); On-site; USD 215,000 - 235,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Cornerstone Research’s Data Science Center seeks a Senior Software Engineer to design, build, and scale infrastructure powering AI applications across the firm. This hands-on role involves co-owning the platform layer beneath AI tooling, including inference gateways, containerized environments, and observability tools.

You’ll collaborate with platform engineers and developers, building reliable, secure systems for internal use, with a focus on developer enablement and operational excellence.

Qualifications

• Strong fundamentals in system design and reliable software for sensitive data.
• Ability to work across tech stacks and pick up new languages quickly.
• Experience using AI-powered coding assistants to accelerate development.
• Familiarity with building AI agents and sandboxed environments.
• Experience with container isolation and orchestration technologies.

Responsibilities

• Design, build, and operate platform infrastructure for AI applications.
• Own metrics, logs, and traces; build dashboards and alerts for reliability.
• Hardening and operational maturity of existing systems.
• Provide tooling and environments for developers to ship AI agents safely.
• Collaborate with engineers, data scientists, product managers, and Security.

Skills

System design

Observability

Containers

AI-native development

Agentic tooling

Developer experience

Communication

Cross-stack versatility

Education

Bachelor's degree or higher

Master or PhD in quantitative field

Tools

Docker

Podman

Bubblewrap

Grafana/OpenTelemetry

Kubernetes

Terraform/Ansible

Job description

Cornerstone Research’s Data Science Center seeks a Senior Software Engineer to design, build, and scale infrastructure powering AI applications across the firm. This hands-on role involves co-owning the platform layer beneath AI tooling, including inference gateways, containerized environments, and observability tools.

You’ll collaborate with platform engineers and developers, building reliable, secure systems for internal use, with a focus on developer enablement and operational excellence.