Senior ML Ops Engineer

Filevine
Prague
Workplace: HybridContractCZK 150,000+ monthlyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Ownership","Autonomy","Problem-solving","Collaboration"]

Senior MLOps Engineer responsible for end-to-end ML infrastructure, including evals, observability, model serving, annotation tooling, and a prompt platform to enable cross-team AI initiatives. Focused on AWS-based distributed systems, cost optimization, security reviews of AI vendors, and empowering non-technical stakeholders to iterate on prompts in a remote-first environment.

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FursaFursa
Filevine
Filevine
2 months ago

Senior ML Ops Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Senior MLOps Engineer responsible for end-to-end ML infrastructure, including evals, observability, model serving, annotation tooling, and a prompt platform to enable cross-team AI initiatives. Focused on AWS-based distributed systems, cost optimization, security reviews of AI vendors, and empowering non-technical stakeholders to iterate on prompts in a remote-first environment.
Location: Prague
Workplace: Hybrid
Employment Type: Contract
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Setup and maintain LLM observability frameworks/tools.
  • •Ensure stability of LLM calls (rate limits, provisioned throughput, backups, …).
  • •Hosting finetuned/open weight machine learning models.
  • •Drive security review processes for AI vendors and providers.
  • •LLM cost optimization recommendations (caching, batching, identification of workflow parts causing high costs, etc.).

Pay and Benefits

Salary: CZK 150,000 monthly

Key Requirements

  • •5+ years building and operating software systems end-to-end.
  • •Hands-on experience with ML infrastructure: model serving, training pipelines, or LLM integrations in production.
  • •Strong understanding of cloud infrastructure and distributed systems (primarily AWS).
  • •Familiarity with observability tooling and cost management for LLM workloads.
  • •Experience with or openness to: Python, Kubernetes, Terraform.
Experience:5+ yearsMachine learningAISaaSEnterprise softwareLegal tech
Skills:CommunicationOwnershipAutonomyProblem-solvingCollaboration
Tech Stack:AWSPythonKubernetesTerraformModel servingObservability

Company Brief

Filevine
Provides cloud-based legal case management and practice management software for law firms and legal departments, offering document management, communication, reporting, and workflow automation to streamline case handling and client collaboration.
Industry: LegalTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Salt Lake City, United States
Founded: 2014
WebsiteLinkedIn