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engineering

Posted May 5

Software Engineer - AI Enablement & Workplace Technology

at Legora

On-site

Responsibilities

  • - Build compliance-as-code and automated evidence collection alongside Information Security; build and run detection & response (SIEM tuning, detections, IR playbooks, on-call) for the corporate and production environments.

Requirements

  • Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision.
  • We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview.
  • ABOUT THE TEAM AI Enablement is the centre of gravity for automation and integration internally at Legora.
  • The AI & Integrations Engineering pod is the build muscle behind our automate-and-integrate-the-enterprise strategy.
  • You should be equally comfortable automating things with AI or with traditional deterministic integrations. You must have
  • experience building with Claude Code.
  • This job posting represents multiple roles across multiple seniorities and domains from IT to DevOps and AI.
  • - Ship integrations and automations from AI Programme Manager specs — deterministic or agentic as the problem demands.
  • - Stand up and operate AWS accounts and IaC foundations for self-hosted internal apps (Gumloop, Serval, and the next ones) — CI/CD, runtime guardrails, observability.
  • - Operate observability, alerting, and runtime guardrails across the AI / integrations / infrastructure surface; participate in on-call.
  • experience for the Senior track; 10+ years and a track record of influencing technical direction across teams for the Staff anchor. - A proficient software developer with hands-on
  • experience in agentic software development with Claude Code — this is the core requirement. - Experienced and comfortable developing in TypeScript; Python is a plus. - Pragmatic about deterministic vs agentic — you reach for whichever fits the problem rather than fitting the problem to your favorite tool. - Curious, builder-minded, and fluent partnering with non-engineers (program managers, security, business stakeholders) to ship outcomes rather than just code.
  • experience with the Anthropic Admin / Enterprise API and MCP integration patterns.
  • - Infrastructure-as-code (Pulumi or Terraform) and AWS at multi-account scale (IAM, VPC, ECS / EKS / Lambda, RDS, secrets, observability).
  • - IAM fundamentals and SAML / SCIM integration patterns.

Experience

  • WHO YOU ARE - 6+ years engineering

Additional details

  • ABOUT US Legora is redefining how legal work gets done.
  • We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar.
  • By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays.
  • We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law.
  • Joining Legora means three things. - We lean in: ownership over titles, outcomes over intentions. - We fight for excellence: high standards, direct, ego-free feedback. - We grow together: as a team and with our customers. Mission before ego.
  • If you’re driven by impact, pace, and raising the bar. This is the place.
  • Workplace Technology builds our capabilities to support Legora at scale.
  • These are founding engineering roles: we build and operate the Claude / MCP integrations, agents, automations, observability, and the internal-platform infrastructure that Legora runs itself, and we partner with Information Security on compliance-as-code and detection & response.
  • - CI/CD pipeline design and secrets / KMS management.
  • - LLM operational concerns — MCP gateways, tool-use telemetry, prompt-injection detection, model governance.

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