Senior AI Engineer

About Us:

Founded 20 years ago and headquartered in Chicago theDV Group of financial services firms has grown to more than 600 people operating throughout North America Europe and Asia. 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.

Overview:

DV Trading is building a centralized AI function and is now hiring for the model layer. The long-term goal isfor DV to own its model capability not to be permanently dependent on what frontier providers choose tooffer at what price for how long. This role is how that happens: fine-tuning and distilling open-weightmodels for DV-specific tasks operating the inference infrastructure to run them on-prem and building the
model gateway that routes intelligently across open and closed providers. The near-term result is lowercost and better latency. The long-term result is a firm that controls its own AI stack.

Job Responsibilities:

• Build and operate a model gateway routing inference across open and closed models with cost latency and quality tracking
• Design and run distillation pipelines: use frontier model outputs to generate training data for task-specific open models
• Fine-tune and evaluate open-weight models (Llama Qwen Mistral or similar) for DV-specific tasks
• Deploy and maintain on-prem inference infrastructure (vLLM TGI or equivalent) on KubernetesBuild model evaluation frameworks for quality cost latency and regression
• Define criteria and tooling for model selection: when open models are production-ready vs. when to use closed APIs
• Partner with the agent engineering team to ensure the model layer meets agent workload

Requirements:

• 5 years software engineering; strong Python
• Production fine-tuning or distillation of open-weight models (not just inference API wrappers)
• Experience serving LLMs on-prem (vLLM TGI Triton or equivalent)
• Experience managing GPU infrastructure (provisioning scheduling utilization monitoring) in aproduction environment
• Model evaluation and regression testing in production
• Kubernetes and GPU workload management
• Strong grasp of the tradeoffs between open and closed models across cost quality latency and datasensitivity

Preferred:

• Quantization PEFT/LoRA or other efficient training techniques
• Model gateway or inference proxy design (routing fallback rate limiting)
• Financial services or other regulated/sensitive-data environments
• Familiarity with the open model ecosystem (Hugging Face model cards licensing

Benefits:

• Discretionary bonus eligibility
• Medical dental and vision insurance
• HSA FSA and Dependent Care Options
• Employer Paid Group Term Life and AD&D insurance
• Voluntary LTD Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match

DV is not accepting unsolicited resumes from search firms. Only search firms with valid written agreements with DV should submit resumes in response to DVs 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.