Applied AI Engineer - AI Finance Agent

Bjak · Remote · Vietnam ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (Vietnam)
  • Python + LLMs
  • AI Automation
  • Fintech & Insurance
  • Fast hiring process

You will join BJAK to develop practical AI solutions that automate real business processes rather than conducting pure research. The team works on integrating AI into customer support, claims, payments, and internal operations to improve efficiency and user experience.

This position requires building scalable systems that connect LLMs with internal data and APIs. You will design evaluation and monitoring flows to ensure reliability while prototyping and shipping features quickly.

What you'll do

  • Build AI-powered workflows, assistants, agents, and automation systems
  • Apply AI to customer support, CRM, onboarding, claims, and payments
  • Integrate LLMs with internal data, APIs, documents, and business systems
  • Design evaluation, monitoring, and fallback flows for safe AI outputs
  • Prototype solutions quickly and productionize successful tests
  • Collaborate with product and engineering teams to scale AI-native systems

What you'll need

  • Strong software engineering foundation with Python and backend systems
  • Hands-on experience with LLM APIs, agents, RAG, and workflow automation
  • Ability to connect AI systems with real product and operational workflows
  • Understanding of evaluation, accuracy, latency, cost, and privacy
  • Strong English communication skills for global team collaboration
  • Must be currently based in Vietnam

Nice to have

  • Experience in fintech or insurance sectors
  • Background in support, CRM, or operations automation

Stack

  • Python
  • LLMs
  • RAG
  • APIs

How you'll work

  • Fully remote within Vietnam
  • English is the main working language

Hiring process

  • Online assessment or practical task
  • Technical interview
  • CEO or final round interview
  • Targeting offer within one week for strong candidates