1 месяц назад
Senior AI Engineer (LLM)
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (LLM): Building DV-specific model capabilities with an accent on fine-tuning and distilling open-weight models, on-prem inference infrastructure, and intelligent routing across open and closed providers. Focus on model evaluation, GPU workload management, and balancing cost, quality, latency, and data sensitivity in production.
Location: Chicago, Hong Kong, London, New York, or Singapore
Base salary: $200,000–$300,000 USD per year, plus discretionary bonus eligibility.
Company
is a proprietary trading firm within the DV Group, providing liquidity and hedging opportunities across worldwide financial markets.
What you will do
- Build and operate a model gateway routing inference across open and closed models while tracking cost, latency, and quality.
- Design and run distillation pipelines that generate training data from frontier model outputs for task-specific open models.
- Fine-tune and evaluate open-weight models such as Llama, Qwen, and Mistral for firm-specific tasks.
- Deploy and maintain on-premise LLM inference infrastructure using vLLM, TGI, or equivalent tools on Kubernetes.
- Build production evaluation and regression frameworks covering model quality, cost, and latency.
- Partner with agent engineering to align the model layer with agent workloads and define criteria for selecting open or closed models.
Requirements
- 5+ years of software engineering experience and strong Python skills.
- Production experience fine-tuning or distilling open-weight models, beyond building inference API wrappers.
- Experience serving LLMs on-premise with vLLM, TGI, Triton, or equivalent technology.
- Production experience managing GPU infrastructure, including provisioning, scheduling, and utilization monitoring.
- Experience with model evaluation and regression testing in production.
- Experience with Kubernetes, GPU workload management, and tradeoffs between open and closed models across cost, quality, latency, and data sensitivity.
Nice to have
- Experience with quantization, PEFT/LoRA, or other efficient training techniques.
- Experience designing model gateways or inference proxies with routing, fallback, and rate limiting.
- Experience in financial services or other regulated and sensitive-data environments.
- Familiarity with the open model ecosystem, including Hugging Face, model cards, and licensing.
Culture & Benefits
- Discretionary bonus eligibility.
- Medical, dental, and vision insurance.
- HSA, FSA, and dependent care options.
- Employer-paid group term life and AD&D insurance, with voluntary LTD and additional life and AD&D options.
- Flexible vacation policy.
- Retirement plan with employer match.
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