AI Backend Engineer (AI Workflow Systems)

BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. We use AI and automation to transform real-world insurance workflows such as quotations, policy issuance, endorsements, claims, and customer follow-ups.We are looking for talented AI Backend Engineers to build the systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack - between models, backend systems, and real users - where latency, correctness, reliability, and cost directly impact production experience.This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems.FocusBuild 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.Ideal ExperienceStrong 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.OutcomesAI backend systems run reliably at scale with low latency and high availability.AI workflows are stable, observable, and production-ready across multiple products.System performance improves continuously through real-world feedback and optimization.Production incidents are quickly detected, diagnosed, and resolved.AI capabilities are seamlessly integrated into global customer and internal workflows.Tech StackPythonNode.jsLLM APIs (OpenAI / Anthropic / open-source models)SQL / NoSQL databasesKubernetesDockerDistributed systems toolingObservability stacks (logging, metrics, tracing)How We WorkWe believe strong products are built by small, high-ownership teams.Engineers at BJAK work closely with product, design, AI, and operations teams to solve meaningful real-world insurance problems. We value technical excellence, speed of execution, and practical decision-making.Engineers are expected to own systems end-to-end—from design and implementation to production reliability and iteration.Why Join BJAKBuild 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.The Kind of Builder We WantThinks in systems, not just services or endpointsStrong ownership of production behavior and system outcomesComfortable working with ambiguity and evolving requirementsStrong attention to failure modes, latency, and reliabilityFocused on real-world production impact over theoretical designMoves fast while maintaining engineering disciplineObsessed with making systems stable, observable, and scalableThis Role Is Not ForEngineers who only build features without owning production systemsThose uncomfortable debugging distributed systems under loadDevelopers who avoid responsibility for production incidentsEngineers who require perfect specifications before starting workPeople who treat AI systems as black boxes without operational ownershipInterview ProcessIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency in our hiring process and aim to make decisions promptly. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team building AI systems that power real-world insurance workflows across global markets.Originally posted on Himalayas