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2026 Summer Internship - AI Engineer
Отличная стажировка в сфере проп-трейдинга с четко определенными проектами и конкурентной оплатой. Работа на стыке AI и DevOps — это очень перспективное направление для карьеры.
Сложность вакансии
Средний уровень сложности для стажировки. Требуются не только навыки программирования на Python, но и понимание специфических концепций RAG, LLM-агентов и основ DevOps (Kubernetes, Prometheus).
Анализ зарплаты
Предлагаемая ставка $30-35 в час является стандартной и конкурентоспособной для летних стажировок в технологических и финансовых компаниях Чикаго. Это соответствует рыночному уровню для студентов профильных специальностей.
Сопроводительное письмо
I am writing to express my strong interest in the 2026 Summer Internship for an AI Engineer at DV Trading. As a Computer Science student with a focus on building agentic workflows and RAG systems, I am particularly drawn to your project-focused approach to internal observability and automated alert response. My experience in Python and working with LLM APIs aligns perfectly with your goal of prototyping generative assistants for DevOps teams.
I have previously developed RAG-based applications that prioritize data grounding and traceability, which I believe will be highly relevant to your internal data retrieval projects. Furthermore, my familiarity with Linux fundamentals and containerization allows me to understand the operational context necessary for building effective tools within a Kubernetes and Prometheus ecosystem. I am eager to contribute to DV Trading's innovative environment and help bridge the gap between AI and infrastructure management.
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Откликнитесь в dvtrading уже сейчас
Присоединяйтесь к команде DV Trading и создавайте будущее DevOps с помощью ИИ уже этим летом!
Описание вакансии
About Us:
Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.
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 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.
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
DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
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Навыки
- Git
- Python
- Linux
- LLM
- Kubernetes
- Prometheus
- Grafana
- OpenTelemetry
- RAG
- Docker
- JSON
- YAML
Возможные вопросы на собеседовании
Проверка понимания архитектуры RAG, что является ключевой задачей стажировки.
Как бы вы спроектировали систему RAG для работы с технической документацией и тикетами, чтобы минимизировать галлюцинации и обеспечить точность ссылок?
Оценка навыков работы с инструментами мониторинга, упомянутыми в вакансии.
Опишите ваш опыт работы с Prometheus или Grafana. Как эти данные могут быть использованы для обучения или контекстуализации ИИ-агента?
Безопасность данных — критическое требование в финансовой сфере.
Какие меры предосторожности необходимо предпринять при отправке внутренних данных компании в API сторонних LLM (например, OpenAI)?
Проверка понимания концепции 'Human-in-the-loop'.
В каких случаях ИИ-агент может выполнять автоматические действия в инфраструктуре, а когда обязательно требуется подтверждение инженера?
Оценка навыков отладки и работы в Linux.
Представьте, что ваш ИИ-агент не может получить данные из пода Kubernetes. С каких шагов вы начнете диагностику проблемы в терминале?
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