Senior AI Engineer
AI in this role
About Us:
Founded 20 years ago and headquartered in Chicago, the DV 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 is for DV to own its model capability — not to be permanently dependent on what frontier providers choose to offer, at what price, for how long. This role is how that happens: fine-tuning and distilling open-weight models 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 lower cost 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 a production 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 data sensitivity
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 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.
The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above.
Base Salary Range$200,000—$300,000 USDHow we rate this
Senior AI Engineer at DV Trading rates 94 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you decide that one model's output is better than another's for a given task?
- What are the limits of Mistral that you've run into, and how did you work around them?
- What's a project where you used Llama hands-on?
- Walk me through how you've used Hugging Face in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Fine Tuning, AI Evaluation, Mistral, Llama, and Hugging Face. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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