AI Engineer Intern - Summer 2027
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As an AI Engineer Intern at DV Trading, you will join the DevOps team for a project-focused summer internship (Summer 2027) working on internal, production-adjacent tooling. You'll report to the DevOps lead and partner with internal technology teams to build generative agents and retrieval systems that improve alert response and operational decision-making across the firm.
What you'll do
- Learn the observability stack (Prometheus, Grafana, Loki, Tempo, Alertmanager, OpenTelemetry) and prototype a generative agent that proposes structured mitigation suggestions for alerts with traceability back to queries, dashboards, or signals.
- Build and iterate on retrieval-augmented generation (RAG) over permissioned internal data sources such as runbooks, tickets, documentation, system design, network design, and postmortems to ground suggestions and Q&A in citable sources.
- Work with internal teams to improve the coverage and quality of the RAG corpus, including metadata, ownership, and freshness.
- Design how the system could execute approved remediations behind explicit guardrails and human approval, and implement only what is allowed and under review.
- Explore how additional internal, permissioned firm data can support natural language questions for engineers.
- Design and prototype agent workflows with tool use, policy boundaries, and human-in-the-loop safeguards where appropriate.
- Collaborate with platform and service teams to make observability and operational context available safely and in a governed way for agents.
- Document experiments, limitations, evaluation approaches, and safety assumptions; ship changes via Git with meaningful commit messages and merge requests.
What you bring
- Currently pursuing a BS or MS in Computer Science, Computer Engineering, Information Systems, or a related field, with expected graduation by Summer 2028.
- Hands-on experience using AI tools such as LLM APIs, assistants, or coding agents in real projects, preferably including building an agent with tools, orchestration, or similar functionality beyond prompt-only chat.
- Experience with RAG covering retrieval design, chunking, evaluation, grounding, or production-minded prototyping, applied to real or simulated internal and knowledge-base style data rather than only public tutorials.
- Python for prototyping and integration; comfortable consuming and creating APIs, working with JSON, and understanding YAML for configurations.
- Git workflow including branches, merge requests, and meaningful commit messages.
- Strong judgment on data handling: no secrets in prompts or logs, minimizing sensitive data exposure, and following internal policies.
Nice to have
- Linux fundamentals including shell, processes, logs, permissions, and basic troubleshooting.
- Networking basics such as DNS, TCP/HTTP/S, ports, and conceptual understanding of load balancing and Ingress.
- Kubernetes fundamentals including debugging, pods, services, and Ingress.
- Coursework or projects involving Kubernetes, Prometheus, Grafana, OpenTelemetry, CI/CD, Terraform, Ansible, or cloud platforms such as AWS, GCP, or Azure.
What we offer
- Compensation of $40.00-$50.00 per hour.
About DV Trading
DV Trading is an independent proprietary trading firm founded in 2016 and headquartered in Chicago, part of the DV Group of financial services firms with over 600 employees across North America, Europe, and Asia. The firm uses its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets.
