Applied AI Engineer - AI Finance Agent

BJAK
Tokyo
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Judgement"]

Build AI-native systems for the AI Neobank app, focusing on practical production workflows rather than research. You’ll design and implement AI-powered assistants, agents, and automation across support, CRM, onboarding, claims, renewals, payments, and internal tools. Partner with product and engineering teams to integrate LLMs with data, APIs, and knowledge bases, and ensure evaluation, monitoring, reliability, and safe fallback behavior.

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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 the AI Neobank app, focusing on practical production workflows rather than research. You’ll design and implement AI-powered assistants, agents, and automation across support, CRM, onboarding, claims, renewals, payments, and internal tools. Partner with product and engineering teams to integrate LLMs with data, APIs, and knowledge bases, and ensure evaluation, monitoring, reliability, and safe fallback behavior.
Location: Tokyo
Workplace: Hybrid
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.
  • •Work with product and engineering teams to turn manual processes into scalable AI-native systems.
  • •Build integrations with LLMs, internal data, APIs, documents, knowledge bases, and business systems.
  • •Design evaluation, monitoring, and fallback flows to keep AI outputs useful, safe, and reliable.

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 when to use AI vs rule-based systems or human review.
  • •Understanding of evaluation, accuracy, latency, cost, privacy, and failure modes.
Experience:FintechInsurance
Skills:CommunicationJudgement
Languages:English
Tech Stack:PythonLLM APIsLLMsRAGAPIs

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
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