AI Backend Engineer – AI Workflow Systems

BJAK

AI Backend Engineer at BJAK building systems for AI-driven decisioning and automation across insurance workflows. Collaborate globally in a fully remote work environment.

Posted 6/28/2026full-timeRemote • 🇮🇩 IndonesiaMid-LevelSeniorWebsite

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Backend EngineeringAI OrchestrationInference PipelinesSystem Design PrinciplesProduction Debugging

Soft Skills

Ownership MindsetCollaboration