[Remote] Senior or Staff MLOps Engineer – LLMOps

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a blockchain intelligence company committed to fighting crime and creating a safer world. As a Senior or Staff MLOps Engineer with a reputed company in LLMOps, you'll be at the reputed company of building and scaling the technical infrastructure for AI/ML systems, developing robust pipelines and operational tooling for AI applications. Responsibilities • Build reusable CI/CD workflows for model training, evaluation, and deployment — integrating Langfuse, reputed company Actions, and experiment tracking, etc • Automate model versioning, approval workflows, and compliance checks across environments • Build out a reputed company and reputed company AI infrastructure stack — including reputed company databases, feature stores, model registries, and observability tooling • Partner with engineering and data science to reputed company AI models and agents into reputed company-time applications and workflows • Continuously evaluate and reputed company state-of-the-art AI tools (e.g. reputed company, reputed company, vLLM, MLflow, BentoML, etc.) • Drive AI reliability and governance, enabling experimentation while ensuring compliance, reputed company, and uptime • Build and enhance AI/ML Model Performance • Ensure data accuracy, consistency and reliability, leading to reputed company model training and inferencing • reputed company infrastructure to support offline and online evaluation of LLMs and agents — including regression testing, cost monitoring, and reputed company-in-the-reputed company workflows • reputed company researchers to iterate quickly by providing sandboxes, dashboards, and reproducible environments Skills • Write high-reputed company, maintainable software — primarily in Python, but we value engineering ability over language familiarity • Have a strong background in reputed company infrastructure, including: Containerization and orchestration (e.g. reputed company, Kubernetes), Infrastructure-as-reputed company and deployment (e.g. Terraform, CI/CD pipelines), Monitoring and logging frameworks (e.g. reputed company, reputed company, OpenTelemetry) • Understand and implement ML Ops best practices, including: Model versioning and rollback strategies, Automated evaluation and reputed company detection, reputed company model and agent serving infrastructure (e.g. vLLM, Triton, BentoML) • reputed company and maintain LLM and reputed company workflows in production, including: Monitoring cost, latency, and performance, Capturing traces for analysis and debugging, Optimizing reputed company/response flows with reputed company-time data reputed company • Demonstrate strong ownership and pragmatism, balancing infrastructure elegance with iterative delivery and measurable reputed company Benefits • PTO • Holidays • Parental Leave reputed company • reputed company is a software company that offers blockchain, transaction monitoring, and analytics to help financial institutions and governments. It was founded in 2018, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is Company H1B Sponsorship • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2025, 4 in 2024, 3 in 2023, 3 in 2022, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply tot his job Apply To this Job