DV Trading LLC
Chicago, IL
AI Engineer Intern - Summer 2027
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Apply to AI Engineer Intern - Summer 2027 at DV Trading LLCJob details
- Location
- Chicago, IL
- Work type
- Onsite
- Visa
- Sponsorship available
- Posted
- 1 week ago
- Apply on
- job-boards.greenhouse.io
About this role
DV Trading LLC is a proprietary financial trading and market-making firm. The AI Engineer Intern will work on the DevOps team to prototype internal AI tooling for alert response, retrieval-augmented generation, operational Q&A, and carefully governed agentic remediation. The role also involves collaboration with platform teams, documentation, evaluation, safety controls, and Git-based delivery.
What you'll do:
- 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)
What they're looking for:
- Pursuing a BS or MS in Computer Science, Computer Engineering, Information Systems, or a related field
- Expected to graduate by **Summer 2028**
- Hands-on experience using AI tools (e.g. LLM APIs, assistants, or coding agents) in real projects
- Experience with RAG (retrieval design, chunking, evaluation, grounding, or production-minded prototyping)—including applying it to real or simulated internal/knowledge-base style data, not only public tutorials
- Python for prototyping and integration; comfortable consuming and creating APIs and working with JSON; able to understand YAML for configs
- Git workflow: branches, merge requests, meaningful commit messages
- Strong judgment on data handling: no secrets in prompts/logs, minimize sensitive data, follow internal policies
- Preferably experience building an agent (tools, orchestration, or similar—not only prompt-only chat)
- 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)
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