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Lawhive

Staff Python Engineer

Lawhive

Staff Python Engineer developing production-ready APIs and scaling AI systems for Lawhive's innovative legal technology. Collaborating closely with AI researchers and engineering teams to enhance legal automation.

Posted 5/30/2026full-timeLondon • 🇬🇧 United KingdomLead💰 £135,000 - £180,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsGoogle Cloud PlatformKafkaPython

About the role

Key responsibilities & impact
  • Developing production-ready APIs and services that expose AI functionality to internal and external applications.
  • Improving reliability & monitoring for AI-driven applications in production.
  • Scaling AI systems to handle real-world legal use cases (e.g., legal document analysis, case predictions, automated legal advice).
  • Collaborating with AI engineers to ensure smooth deployment of AI workflows and models into production.
  • Working with event-driven architectures and async workflows to process large-scale AI workloads efficiently.
  • Ensuring security & compliance in AI-driven legal services.

Requirements

What you’ll need
  • Strong Python experience in building scalable backend systems.
  • Familiarity with API design & distributed systems architecture.
  • Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.).
  • Experience working with cloud platforms (AWS, GCP etc).
  • Understanding of best practices in observability, monitoring, and debugging.

Benefits

Comp & perks
  • Meaningful early-stage equity at one of Europe’s fastest growing startups
  • 33 days’ annual leave (25 + bank holidays) plus your birthday off
  • Work from anywhere for a month
  • Pension contribution via Nest
  • Top-spec equipment - MacBook/Windows
  • Regular team building activities and socials!

ATS Keywords

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Hard Skills & Tools
PythonAPI designdistributed systems architectureevent-driven architecturesKafkaPub/SubAWS Step Functionscloud platformsAWSGCP
Soft Skills
collaborationreliability improvementmonitoringdebuggingscalability