QA Automation Engineer

• Lead the design and development of production AI systems powering insurance workflow automation.
• Architect AI orchestration layers connecting LLMs, backend services, and business workflows.
• Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies.
• Drive engineering decisions around latency, reliability, cost, and scalability of AI services.
• Lead implementation of observability systems (logging, monitoring, tracing, alerting).
• Review and guide backend AI implementation across engineering teams.
• Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features.
• Debug complex production issues across distributed AI systems and lead root-cause analysis.
• Define engineering standards and best practices for AI system development.
• Mentor engineers and elevate technical execution quality across teams.

Lead AI Engineer – AI Systems, Automation

• Build modern web applications using React, Next.js, TypeScript and other modern frontend technologies.
• Develop customer-facing and internal tools for claims processing and policy automation workflows.
• Collaborate with designers to translate UI/UX designs into high-quality, responsive interfaces.
• Integrate frontend applications with backend APIs and workflow orchestration systems.
• Visualize complex insurance processes such as claims status, approvals, document submissions and policy lifecycle tracking.
• Optimize applications for speed, reliability and scalable user experience.
• Participate in code reviews and contribute to frontend architecture and engineering standards.
• Work closely with backend engineers, product managers and QA throughout the development lifecycle.
• Stay current with frontend technologies and evolving workflow automation patterns.

React Frontend Engineer, Claims & Policy Automation

• Build backend services that power AI-driven workflow automation across insurance journeys.
• Design and implement logic for quote generation, policy issuance, endorsements, renewals and claims workflows.
• Connect customer data, insurer systems, internal task queues and workflow state tracking.
• Improve APIs, background jobs, queues, retries, idempotency and failure recovery mechanisms.
• Design systems for workflow visibility, status tracking and operational traceability.
• Debug production issues and perform deep root cause analysis to prevent recurrence.
• Work closely with product, operations, QA, frontend and DevOps teams to deliver end-to-end systems.
• Write clean, maintainable backend code that supports long-term scalability and reliability.
• Continuously improve system performance, resilience and operational efficiency.

Backend Engineer – AI Workflow Automation

• Build backend services that power claims automation workflows end-to-end.
• Design and implement logic for claims submission, validation, assessment, approval and payout processes.
• Integrate with insurer systems, internal workflow engines and external data sources.
• Manage complex claims rules including eligibility, documentation, fraud checks and approval conditions.
• Improve APIs, data models, queues, retries and asynchronous processing for claims workflows.
• Ensure accuracy, traceability and consistency of claims data across systems and states.
• Debug production issues and perform root cause analysis for claims delays, failures or inconsistencies.
• Work closely with product, operations, QA, frontend and DevOps teams to deliver end-to-end solutions.
• Build systems that provide full visibility into claims status and lifecycle tracking.
• Continuously improve system reliability, performance and scalability under high operational load.

Backend Engineer – Claims Automation

• Build backend services that power BJAK’s insurance automation platform end-to-end.
• Design and implement APIs, services and workflows for quote, policy issuance, renewals, endorsements and claims.
• Connect customer data, insurer systems, internal operations and workflow engines into a unified backend system.
• Design scalable data models and system architecture to support complex insurance processes.
• Improve APIs, queues, background jobs, retries and asynchronous processing pipelines.
• Ensure correctness, consistency and reliability of transactional insurance data across systems.
• Debug production issues and perform root cause analysis across multi-step workflows.
• Work closely with product, operations, QA, frontend and DevOps teams to deliver end-to-end features.
• Build systems that provide clear visibility into workflow status and operational tracking.
• Continuously improve performance, scalability and reliability of backend services.

Backend Engineer – Insurance Automation Platform

• Build backend services that power policy issuance automation end-to-end.
• Design and implement logic for policy creation, validation, issuance and lifecycle updates.
• Integrate with insurer systems, internal workflow engines and external APIs.
• Manage complex business rules around eligibility, pricing, documentation and approvals.
• Improve APIs, data models, queues, retries and asynchronous processing for issuance workflows.
• Ensure correctness and consistency of policy data across multiple systems and states.
• Debug production issues and perform root cause analysis for issuance failures or delays.
• Work closely with product, operations, QA, frontend and DevOps teams to deliver reliable systems.
• Build systems that ensure traceability, auditability and operational visibility of policy issuance.
• Continuously improve performance, reliability and scalability of issuance workflows.

Backend Engineer – Policy Issuance Automation

• Build backend services that power quote generation and quote automation workflows.
• Design and implement pricing logic, eligibility rules and quote calculation engines.
• Integrate with insurer APIs, rating systems and internal pricing services.
• Manage complex business rules around coverage, premiums, discounts and product variations.
• Design scalable APIs and backend architectures for high-volume quote requests.
• Improve performance, caching strategies, queues and asynchronous processing for quote generation.
• Ensure accuracy, consistency and traceability of quote data across systems.
• Debug production issues and perform root cause analysis for pricing or quote failures.
• Work closely with product, operations, QA, frontend and DevOps teams to deliver end-to-end features.
• Build systems that provide clear visibility into quote status, calculation steps and outcomes.
• Continuously improve system reliability, latency and scalability under high traffic load.

Backend Engineer – Quote Automation

• Build and maintain a scalable, secure and reliable cloud infrastructure that powers BJAK’s automation systems, enabling fast delivery of features while ensuring stable and efficient production operations.
• Manage cloud environments across development, staging and production.
• Build and improve infrastructure-as-code for scalable and repeatable deployments.
• Design and optimize CI/CD pipelines for safe, fast and consistent releases.
• Improve system observability through monitoring, logging and alerting solutions.
• Ensure infrastructure security, including access control, secrets management and network configuration.
• Support high-availability systems for business-critical insurance workflows across regions.
• Work closely with engineers to improve deployment architecture and reduce operational risk.
• Automate infrastructure provisioning, scaling and operational tasks.
• Continuously improve system reliability, performance and cost efficiency.

Cloud Engineer – Automation Infrastructure

• Manage cloud infrastructure, environments and deployment pipelines for production systems.
• Design and improve CI/CD processes to make deployments safer, faster and more reliable.
• Improve monitoring, alerting, logging and system observability across services.
• Own uptime, incident response workflows and post-incident root cause analysis.
• Work with engineers to reduce production risk through better release practices and infrastructure design.
• Improve access control, secrets management and infrastructure security basics.
• Support infrastructure for business-critical workflows across multiple countries and services.
• Automate operational tasks to reduce manual intervention and human error.
• Continuously improve system reliability, scalability and operational discipline.

DevOps Engineer – AI Automation Platform

• Build modern web applications using React, Next.js, TypeScript and other modern frontend technologies.
• Develop customer-facing and internal automation tools.
• Collaborate with designers to translate UI/UX designs into high-quality, responsive interfaces.
• Integrate frontend applications with backend APIs.
• Optimize applications for speed, scalability and usability.
• Participate in code reviews and contribute to frontend architecture and engineering standards.
• Work closely with backend engineers, product managers and QA throughout the development lifecycle.
• Stay current with frontend technologies and AI product trends.

Frontend Engineer – AI Automation Platform

• Build modern web applications using React, Next.js, TypeScript and other modern frontend technologies.
• Develop customer-facing and internal workflow automation tools for insurance operations.
• Collaborate with designers to translate UI/UX designs into high-quality, responsive interfaces.
• Integrate frontend applications with backend APIs and workflow orchestration systems.
• Visualize complex insurance workflows, including status tracking, approvals, document requests and next-step actions.
• Optimize applications for speed, reliability and scalable user experience.
• Participate in code reviews and contribute to frontend architecture and engineering standards.
• Work closely with backend engineers, product managers and QA throughout the development lifecycle.
• Stay current with frontend technologies and workflow automation patterns.

Frontend Engineer – Insurance Workflow Automation

• Lead delivery of AI-driven workflow automation systems from design to production.
• Translate complex operational and business processes into clear system architecture and engineering execution plans.
• Design backend workflows for multi-step insurance processes including approvals, claims, policy issuance and document handling.
• Define and implement system logic for state transitions, workflow orchestration and automation rules.
• Review architecture, code quality and implementation to ensure scalability, reliability and correctness.
• Mentor engineers and raise engineering standards across system design, coding quality and delivery discipline.
• Work closely with product, operations, QA and DevOps to deliver complete end-to-end systems.
• Improve system reliability through monitoring, debugging, incident response and root cause analysis.
• Ensure smooth production releases with strong focus on operational stability and risk control.

Lead Software Engineer – AI Workflow Automation

• Develop and execute test plans and test cases with a strong emphasis on using code to solve technical challenges and shorten the test cycle through automation.
• Estimate test efforts, analyze and communicate test results and participate in day to day QA Activities.
• Develop/Maintain and improve the test frameworks, tools and technologies used by the organization to maintain a high quality bar.
• Work with Development, Test and Product Management to design and implement test and validation strategies.
• Execute and manage test cases and results, report on test and defect metrics.
• Create, execute and troubleshoot automated test scenarios across our systems.
• Contribute to robust, scalable, and high quality test automation solutions for functional, regression and performance testing.
• Contribute to the building of a Continuous Integration (CI) environment and ongoing process improvement activities.
• Identify required improvements in the test and development processes; make contributions to our automation tools that address specific needs.
• Maintain a high quality bar in a complex and constantly evolving workspace.

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