Applied AI Engineer - AI Finance Agent

BJAK
Sydney
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Strong English communication"]

Build AI-native systems for an AI neobank app, turning manual workflows into scalable assistants, agents, and automation. Apply AI across areas like customer support, CRM, onboarding, claims, renewals, payments, and internal tools. Integrate LLMs with real product, data, APIs, documents, and knowledge bases while designing evaluation, monitoring, and fallback flows for reliable, safe outputs. Prototype quickly, test with users/operators, and productionize what works.

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FursaFursa
BJAK
BJAK
2 months ago

Applied AI Engineer - AI Finance Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build AI-native systems for an AI neobank app, turning manual workflows into scalable assistants, agents, and automation. Apply AI across areas like customer support, CRM, onboarding, claims, renewals, payments, and internal tools. Integrate LLMs with real product, data, APIs, documents, and knowledge bases while designing evaluation, monitoring, and fallback flows for reliable, safe outputs. Prototype quickly, test with users/operators, and productionize what works.
Location: Sydney
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build AI-powered workflows, assistants, agents, and automation systems.
  • •Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations, and internal tools.
  • •Develop integrations with LLMs, internal data, APIs, documents, knowledge bases, and business systems.
  • •Design evaluation, monitoring, and fallback flows to make AI outputs useful, safe, and reliable.
  • •Prototype quickly, test with users/operators, and productionize what works.

Key Requirements

  • •Strong software engineering foundation, preferably with Python and backend systems.
  • •Hands-on experience building with LLM APIs, agents, RAG, workflow automation, or AI tools.
  • •Ability to connect AI systems with real product, data, and operational workflows.
  • •Good judgement on where AI helps versus rule-based systems or human review.
  • •Understanding of evaluation, accuracy, latency, cost, privacy, and failure modes.
Experience:FintechInsuranceSupport automationCRMOperations automation
Skills:Strong English communication
Languages:English
Tech Stack:PythonLLM APIsAgentsRAGWorkflow automationAPIs

Company Brief

BJAK
Bjak is a Malaysia-based insurtech that operates an online insurance comparison and distribution platform across SEA, simplifying purchase and servicing of motor and life insurance using digital tools and AI-enabled services.
Industry: InsurTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Selangor, Malaysia
Founded: 2019
Glassdoor
Glassdoor: 2.5
WebsiteLinkedInGlassdoor