2026 Summer Internship AI EngineerFramework Ventures • New York, New York, United States
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2026 Summer Internship AI Engineer
Framework Ventures
- New York, New York, United States
- New York, New York, United States
Über
Role Overview 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
Explore how additional internal, permissioned firm data can support natural language questions for engineers. Across all phases, permissioning, auditing, logging, and cost controls are non‑negotiable requirements, not stretch goals.
Responsibilities Design and prototype agent workflows with tool use, policy boundaries, and human‑in‑the‑loop where appropriate. Collaborate with platform and service teams to make more observability and operational context available in a safe, governed way for agents. Document experiments, limitations, evaluation approach, and safety assumptions; ship changes via Git (branches, merge requests, meaningful commits).
Requirements
Pursuing a BS or MS in Computer Science, Computer Engineering, Information Systems, or a related field; expected graduation Summer 2026 or 2027.
Hands‑on experience using AI tools (e.g. LLM APIs, assistants, or coding agents) in real projects; preferably experience building an agent (tools, orchestration, or similar—not only prompt‑only chat).
Experience with RAG (retrieval design, chunking, evaluation, grounding, or production‑minded prototyping)—including applying it to real or simulated internal/knowledge‑base.
Preferred Skills
Linux fundamentals (shell, processes, logs, permissions, basic troubleshooting).
Networking basics: DNS, TCP/HTTP/S, ports, load balancing vs Ingress at a conceptual level.
Kubernetes fundamentals: debugging, pods, services, ingress. Coursework or projects involving Kubernetes, Prometheus/Grafana, OpenTelemetry, CI/CD, Terraform/Ansible, or cloud (AWS/GCP/Azure).
Compensation Range $30.00–$35.00/hr
Equal Opportunity Employer DV is proud to be an equal‑opportunity employer and committed to creating an inclusive environment for all employees.
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Sprachkenntnisse
- English
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