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Bjak

Lead AI Engineer (AI Systems & Automation) - Remote (UK)

Bjak
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about 11 hours ago
London, United KingdomSenior / Staff+

Responsibilities

  • Lead the design and development of production AI systems for insurance workflow automation.
  • Architect AI orchestration layers connecting LLMs, backend services, and business workflows.
  • Own end-to-end AI system design, including inference pipelines and fallback strategies.
  • Drive engineering decisions around latency, reliability, cost, and scalability of AI services.
  • Implement observability systems for logging, monitoring, and alerting.
  • Review and guide backend AI implementation across engineering teams.
  • Collaborate with product, backend, DevOps, and operations teams to ship AI features.
  • Debug complex production issues and lead root-cause analysis.
  • Define engineering standards and best practices for AI system development.
  • Mentor engineers and elevate technical execution quality across teams.

Requirements

  • Strong backend or AI engineering experience in production environments.
  • Experience building or scaling AI systems, including LLMs and automation workflows.
  • Strong system design skills with experience in distributed systems.
  • Experience with production inference pipelines and AI orchestration.
  • Strong debugging ability in high-scale, latency-sensitive environments.
  • Experience with observability, monitoring, and incident response.
  • Proven ability to lead technical execution in cross-functional teams.
  • Strong ownership mindset and ability to drive projects end-to-end.
  • Comfortable working in fast-paced, globally distributed teams.

Benefits

  • Work on intelligent insurance automation systems.
  • Collaborate across multiple countries in a global engineering organization.
  • Products used by millions across Southeast Asia and beyond.
  • Support for continuous technical growth with a learning and development budget.
  • Lead critical AI systems end-to-end in a high ownership culture.
  • Focus on scalability and reliability with modern engineering practices.
  • Shape AI architecture and engineering standards with leadership impact.
  • Attractive salary package and fully remote work options.