Applied AI Engineer - AI Neobank App

About the role

BJAK, the leading insurance platform in Southeast Asia, is looking for applied AI engineers to build AI-native systems for its AI Neobank app. This is not a research-only role: the team needs builders who use AI to automate real workflows, improve products and make financial services easier for users and teams. The position is remote, but candidates must be based in Austria.

Key responsibilities

• Build AI agents, workflows, tools and automations that solve real customer, product and operations problems.
• Apply LLMs, retrieval, tool calling, evaluations, guardrails and automation to practical financial workflows.
• Create AI-assisted experiences for onboarding, support, KYC, risk review, CRM, operations, document handling and product intelligence.
• Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
• Design around accuracy, hallucination risk, latency, cost, security, compliance and user trust.
• Turn manual processes into reliable, scalable AI-enabled systems.

Required profile

• Hands-on engineering ability, not just AI strategy or management experience.
• Experience building AI agents, LLM apps, RAG systems, automation workflows, copilots or AI-enabled tools.
• Good judgement on what should be automated and what should not.
• Able to ship working systems, test quality and improve reliability over time.
• Fintech, banking, support automation, risk, KYC, fraud, CRM or operations automation experience is a strong plus.
• Not for people who only want research projects, treat AI as demos, ignore evaluation and reliability, overclaim AI impact, or cannot work with product, ops and business teams.
• Strong English communication; the role is remote and based in Austria.

Required skills

• Strong coding in Python, TypeScript, JavaScript or a similar practical stack.
• Building AI agents, LLM apps, RAG systems and automation workflows.

The interview process is fast: online assessment or practical task, technical interview, then CEO/final round, with offers aimed at strong candidates within a week of starting interviews.