Senior Legal AI Platform Engineer

Cribl
United States
Workplace: RemoteFull timeUSD 100,000 - 150,000 annuallyFunction: DevOps, Cloud & InfrastructureSkills: ["Communication","Change-management","Systems thinking","Data judgment","Collaboration"]

Build and operate Legal-specific AI platform components that translate legal and commercial requirements into governed workflows, integrations, automations, agents, and technical controls. Own end-to-end delivery across CLM/CRM intake, approvals, evidence, privacy operations, and denied-party screening, while maintaining reliability, auditability, security controls, and observability. Partner with LITS AI engineers and Legal stakeholders as the SME to improve system behavior, data quality, usability, and reporting.

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FursaFursa
Cribl
Cribl
3 days ago

Senior Legal AI Platform Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and operate Legal-specific AI platform components that translate legal and commercial requirements into governed workflows, integrations, automations, agents, and technical controls. Own end-to-end delivery across CLM/CRM intake, approvals, evidence, privacy operations, and denied-party screening, while maintaining reliability, auditability, security controls, and observability. Partner with LITS AI engineers and Legal stakeholders as the SME to improve system behavior, data quality, usability, and reporting.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Independently own Legal AI systems and components from requirements and technical design through implementation, testing, release, operation, and documentation.
  • •Architect and operate integrations across CLM/CRM, intake, workflows, knowledge, identity, and collaboration systems using APIs, webhooks, queues, automation platforms, and reliable data contracts.
  • •Turn approved legal language, routing rules, risk thresholds, and conditioned paths into maintainable technical controls with required HITL review and escalation.
  • •Build governed AI plugins, single-job agents, and automations that consume approved source content without duplicating or forking it across tools.
  • •Instrument the stack for reliability and auditability, including access controls, logging, monitoring, incident handling, rollback, and creating runbooks, tests, and release evidence.

Pay and Benefits

Salary: USD 100,000 - 150,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsurancePaid HolidaysPaid LeaveFertility Treatment401k

Key Requirements

  • •Seasoned experience in software, platform, integration, or infrastructure engineering with independent ownership of complex production systems or components.
  • •Hands-on ability with a general-purpose programming language such as Python, including APIs, webhooks, structured data, automation, and systems troubleshooting.
  • •Experience with cloud services, event-driven architectures, queues, containers, source control, CI/CD, automated testing, release controls, and production observability.
  • •Practical experience with AI/LLM systems, including model APIs, retrieval/tool-use patterns, agents, evaluation, and HITL controls.
  • •Strong identity and security fundamentals, including OAuth, service identities, least-privilege access, SSO/SCIM, secrets management, audit logging, and secure operational practices.
Skills:CommunicationChange-managementSystems thinkingData judgmentCollaboration
Languages:English
Tech Stack:PythonAPIsWebhooksQueuesAutomation platformsCLMCRMOAuthSSO/SCIMSecrets managementAudit loggingCI/CDAutomated testingAWS serverlessContainersGitHub ActionsLLMRetrievalAgentsMCP

Company Brief

Cribl
Builds observability and data routing software that enables organizations to collect, process, and route machine data (logs, metrics, traces) to analytics and storage destinations while reducing costs and improving operational visibility.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn