Senior or Staff AI Infrastructure Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior or Staff AI Infrastructure Engineer (AI/MLOps): Building and scaling the technical infrastructure for AI/ML systems with an accent on LLM pipelines, agentic systems, and production-ready observability. Focus on designing reusable CI/CD workflows, automating model versioning, and optimizing model performance and latency.
Location: Remote (North America)
Salary: $200,000 – $275,000
Company
provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime through blockchain analysis.
What you will do
- Build reusable CI/CD workflows for model training, evaluation, and deployment using GitHub Actions and Langfuse.
- Develop a modular AI infrastructure stack including vector databases, feature stores, and model registries.
- Partner with engineering and data science teams to embed AI models and agents into real-time applications.
- Evaluate and integrate state-of-the-art AI tools such as LangChain, LlamaIndex, vLLM, and MLflow.
- Drive AI reliability and governance, ensuring security, compliance, and uptime for production systems.
- Implement infrastructure for offline and online LLM evaluation, including regression testing and cost monitoring.
Requirements
- Experience writing high-quality, maintainable software, primarily in Python.
- Strong background in scalable infrastructure, including Docker, Kubernetes, and Terraform.
- Proficiency in MLOps best practices: model versioning, drift detection, and scalable serving (vLLM, Triton).
- Experience deploying and maintaining LLM and agentic workflows in production.
- Must be based in North America.
- High level of applied AI fluency in daily workflows.
Culture & Benefits
- Participation in the company equity plan.
- Distributed-first work environment with hubs in major global cities.
- High-velocity culture emphasizing personal ownership, accountability, and rapid iteration.
- Focus on master craftsmanship and professional growth in the AI/National Security domain.
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