AI Backend Engineer – AI Workflow Systems

BJAK

AI Backend Engineer developing backend systems for AI-powered insurance workflows. Collaborating with global teams to optimize performance and reliability across platforms.

Posted 6/28/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend engineering for AI-powered systems, focusing on building high-throughput, low-latency services while ensuring system reliability and observability. Proficient in collaborating with cross-functional teams to deliver end-to-end features in a fast-paced environment.

Highest-signal resume keywords

Backend Engineering ExperienceHigh-Throughput ServicesAI Systems FamiliarityObservability Tools ExperienceDistributed Systems Debugging

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringAI OrchestrationInference PipelinesSystem Design PrinciplesProduction DebuggingLatency OptimizationThroughput OptimizationCost OptimizationAPI DevelopmentService Boundary Design

Soft Skills

Ownership MindsetCollaborationBias Toward ShippingAdaptabilityProblem-Solving

Tools & Technologies

Logging ToolsMonitoring ToolsTracing ToolsIncident Response WorkflowsDistributed Systems

Industry Keywords

AI WorkflowsLLMsEmbeddingsProduction SystemsFast-Paced Teams

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Build and operate backend systems that serve AI-powered insurance workflows in production.
Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
Build inference pipelines for LLM-based and AI-assisted automation systems.
Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
Design stable service boundaries between backend systems, ML components, and product APIs.
Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
Debug production issues across distributed AI systems and resolve root causes.
Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
Continuously improve system reliability, scalability, and performance.

Requirements

What you’ll need

Strong backend engineering experience in production systems.
Experience building or operating high-throughput, low-latency services.
Familiarity with AI systems (LLMs, embeddings, or AI workflows).
Experience with distributed systems and production debugging.
Strong understanding of APIs, data flows, and system design principles.
Experience with observability tools (logging, monitoring, tracing).
Strong ownership mindset and bias toward shipping.
Comfortable working in fast-paced, globally distributed teams.

Benefits

Comp & perks

Build AI-Powered Products - Work on intelligent insurance automation systems.
Global Engineering Organization - Collaborate across multiple countries.
International Impact - Products used by millions across Southeast Asia and beyond.
Learning & Development Budget - Support for continuous growth.
High Ownership Culture - End-to-end ownership of engineering systems.
Modern Engineering Practices - Focus on scalability and reliability.
Career Growth - Fast-moving engineering environment.
Competitive Compensation - Attractive salary package.
Fully Remote - Work remotely with globally distributed teams.