Senior/Staff ML Systems Engineer (LLM)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior/Staff ML Systems Engineer (LLM): Building and scaling technical infrastructure for AI/ML systems with an accent on LLMs and agentic workflows. Focus on designing robust pipelines, high-performance serving infrastructure, and governance tooling to deploy AI applications with speed and safety.
Location: Must be based in the United States
Salary: $200,000 - $275,000
Company
provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt illicit blockchain activity.
What you will do
- Build reusable CI/CD workflows for model training, evaluation, and deployment.
- Develop a modular and scalable AI infrastructure stack including vector databases and model registries.
- Partner with engineering and data science teams to embed AI models into real-time applications.
- Evaluate and integrate state-of-the-art AI tools like LangChain, LlamaIndex, and vLLM.
- Deploy infrastructure for offline and online evaluation of LLMs, including regression testing and cost monitoring.
- Drive AI reliability, governance, and security across production environments.
Requirements
- Must be based in the United States
- Strong background in scalable infrastructure including containerization (Docker, Kubernetes) and IaC (Terraform).
- Proficiency in writing high-quality, maintainable software, primarily in Python.
- Deep understanding of MLOps best practices including model versioning, drift detection, and serving infrastructure.
- Experience deploying and maintaining LLM and agentic workflows in production.
- Demonstrated ownership and pragmatism in balancing infrastructure elegance with iterative delivery.
Culture & Benefits
- High-velocity, mission-driven environment focused on solving complex problems in national security.
- Distributed-first company culture with hubs in major US cities.
- Opportunity to work with cutting-edge AI stacks and petabyte-scale data.
- Emphasis on high ownership, adaptability, and continuous feedback.
- Equity participation eligibility.
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