This is a project-focused internship for an AI engineer embedded on the DevOps team. You will report to the DevOps lead and partner with internal technology teams. The work centers on internal, production-adjacent tooling—not training or shipping customer-facing ML models.

Core Internship Projects:

Generative assistant for alert response

Learn our observability stack and what data exists today e.g. Prometheus, Grafana, Loki, Tempo, Alertmanager, OpenTelemetry.

Prototype a generative agent that uses approved observability sources to propose structured mitigation suggestions for alerts (hypothesis, checks, likely causes, safe next steps), with traceability back to queries, dashboards, or signals where possible.

Retrieval on internal data (RAG)

Build and iterate on RAG over permissioned internal data sources (e.g. runbooks, tickets, docs, system design, network design, postmortems) so suggestions and Q&A are grounded and citeable.

Work with teams to improve coverage and quality of that corpus (metadata, ownership, freshness).

Path toward agentic remediation (design + scoped implementation)

Outline how the system could execute approved remediations behind explicit guardrails and human approval.

Implement only what is allowed and under review—no autonomous production changes without platform sign-off.

Broader internal Q&A

AI Engineer Intern - Summer 2027

Responsibilities

Qualification

Required

Preferred

Company

Dvtrading

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