DV Trading
Senior AI Engineer

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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 burgeoning 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 Kubernetes
- Build 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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 USD
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