About the role#
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 rather than training or shipping customer-facing machine learning models. Permissioning, auditing, logging, and cost controls are critical requirements for all project phases.
What you'll do#
- Design and prototype agent workflows that incorporate tool use, policy boundaries, and human-in-the-loop processes.
- Collaborate with platform and service teams to make observability and operational context available for agents in a safe, governed way.
- Build and iterate on RAG systems using permissioned internal data sources like runbooks, system designs, and postmortems.
- Prototype a generative agent to assist with alert responses by proposing structured mitigation suggestions.
- Work with teams to improve the coverage and quality of the internal data corpus.
- Outline how the system could execute approved remediations behind explicit guardrails.
- Document experiments, limitations, evaluation approaches, and safety assumptions.
- Ship all changes via Git using branches and merge requests.
What you'll need#
- Pursuing a BS or MS in Computer Science, Computer Engineering, Information Systems, or a related field with an expected graduation date by Summer 2028.
- Hands-on experience using AI tools in real projects, preferably building agents with tools or orchestration.
- Experience with RAG, including applying it to internal or knowledge-base style data.
- Proficiency in Python for prototyping and integration.
- Ability to consume and create APIs, work with JSON, and understand YAML configurations.
- Strong judgment on data handling, including minimizing sensitive data and following security policies.
- Proficiency in Git workflows.
- Linux fundamentals, including shell, processes, and logs.
- Conceptual knowledge of networking basics like DNS, TCP/HTTP/S, and load balancing.
- Kubernetes fundamentals such as debugging, pods, and services.
- Coursework or projects involving Kubernetes, Prometheus/Grafana, OpenTelemetry, CI/CD, Terraform/Ansible, or cloud platforms.
Location & details#
- Location: Chicago, Illinois
- Term: Summer 2027
- Modality: On-site
- Employment: Full-time, paid internship
About DV Trading LLC
DV Trading LLC is a proprietary trading firm based in Chicago. Founded in 2006, the organization operates as part of the DV Group of financial services firms. It employs 595 people across offices in North America, Europe, and Asia. The firm uses its own capital and risk management methodologies to provide liquidity to global financial markets.
How to get in at DV Trading LLC
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