Applied AI Engineer - AI Finance Agent

BJAK
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Communication"]

Build AI-native systems for a mobile-first neobank, turning manual financial workflows into scalable assistants, agents, and automation. Apply AI across customer support, CRM, onboarding, claims, renewals, and payments, while integrating LLMs, internal data, APIs, documents, and knowledge bases. Own evaluation, monitoring, and fallback flows to ensure outputs are useful, safe, and reliable—then prototype, test, 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 a mobile-first neobank, turning manual financial workflows into scalable assistants, agents, and automation. Apply AI across customer support, CRM, onboarding, claims, renewals, and payments, while integrating LLMs, internal data, APIs, documents, and knowledge bases. Own evaluation, monitoring, and fallback flows to ensure outputs are useful, safe, and reliable—then prototype, test, and productionize what works.
Location: United States
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.
  • •Work with product and engineering teams to convert manual processes into scalable AI-native systems.
  • •Integrate LLMs with internal data, APIs, documents, knowledge bases, and business systems.
  • •Design evaluation, monitoring, and fallback flows; prototype, 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 judgment on when AI should be used versus rule-based systems or human review.
  • •Understanding of evaluation, accuracy, latency, cost, privacy, and failure modes.
Experience:FintechInsuranceSupport automationCRMOperations automation
Skills:Communication
Languages:English
Tech Stack:PythonLLM APIsAgentsRAGWorkflow automationAPIsKnowledge bases

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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