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AI Backend Engineer – AI Workflow Systems at BJAK | JobVerse
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AI Backend Engineer – AI Workflow Systems
BJAK
Remote
Website
LinkedIn
AI Backend Engineer – AI Workflow Systems
United Kingdom
Full Time
4 hours ago
No Sponsorship
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Key skills
Distributed Systems
AI
ML
LLM
Caching
About this role
Role Overview
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
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.
Tech Stack
Distributed Systems
Benefits
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.
Apply Now
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