Applied AI Engineer - AI Finance Agent

BJAK
Austria
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Good judgement","Fast prototyping","User-focused testing","Guardrails thinking","Reliability focus"]

Build AI-native systems for a mobile-first AI Neobank, turning manual workflows into scalable, real-world automation. You’ll design AI-powered assistants, agents, and workflow pipelines across customer support, CRM, onboarding, and payments, connecting LLMs with product data, APIs, and knowledge bases. Own evaluation, monitoring, and fallback flows to ensure outputs are safe and reliable, then prototype quickly, test with users, and productionize what works.

Loading

Loading job details...

Preparing the role view and application actions.

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: 1 hour agoStatus: Live

Job Summary

Build AI-native systems for a mobile-first AI Neobank, turning manual workflows into scalable, real-world automation. You’ll design AI-powered assistants, agents, and workflow pipelines across customer support, CRM, onboarding, and payments, connecting LLMs with product data, APIs, and knowledge bases. Own evaluation, monitoring, and fallback flows to ensure outputs are safe and reliable, then prototype quickly, test with users, and productionize what works.
Location: Austria
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.
  • •Partner with product and engineering teams to convert manual processes into scalable AI-native systems.
  • •Create integrations with LLMs, 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 judgement on where AI helps versus rule-based systems or human review.
  • •Understand evaluation, accuracy, latency, cost, privacy, and failure modes.
Experience:FintechInsuranceSupport automationCRMOperations automation
Skills:Good judgementFast prototypingUser-focused testingGuardrails thinkingReliability focus
Languages:English
Tech Stack:PythonLLM APIsLLMsAgentsRAGWorkflow 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