1 day ago
London, United KingdomMid Level / Senior
Responsibilities
- Build and operate backend systems for AI-powered insurance workflows.
- Design and implement AI orchestration layers connecting models, APIs, and workflows.
- Build inference pipelines for AI-assisted automation systems.
- Optimize latency, throughput, and cost across AI services.
- Design stable service boundaries between backend systems and ML components.
- Implement observability tools for logging, metrics, and incident response.
- Debug production issues across distributed AI systems.
- Collaborate with frontend, product, operations, and ML teams.
- Continuously improve system reliability, scalability, and performance.
Requirements
- Strong backend engineering experience in production systems.
- Experience with high-throughput, low-latency services.
- Familiarity with AI systems and workflows.
- Experience with distributed systems and production debugging.
- Strong understanding of APIs and system design principles.
- Experience with observability tools.
- Ownership mindset and bias toward shipping.
- Comfortable in fast-paced, globally distributed teams.
Benefits
- Work on intelligent insurance automation systems.
- Collaborate across a global engineering organization.
- Support for continuous learning and development.
- End-to-end ownership of engineering systems.
- Focus on modern engineering practices for scalability and reliability.
- Career growth in a fast-moving environment.
- Attractive salary package.
- Fully remote work with globally distributed teams.