Applied AI Engineer - AI Finance Agent

Stack

Responsibilities

• ▹Build AI-powered workflows, assistants, agents and automation systems
• ▹Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools
• ▹Turn manual processes into scalable AI-native systems with product and engineering teams
• ▹Build integrations with LLMs, internal data, APIs, documents and knowledge bases
• ▹Design evaluation, monitoring and fallback flows so AI outputs are safe and reliable
• ▹Prototype quickly, test with users, then productionize what works

Requirements

• ▹Strong software engineering foundation, preferably with Python and backend systems
• ▹Hands-on experience with LLM APIs, agents, RAG, workflow automation or AI tools
• ▹Able to connect AI systems with real product, data and operational workflows
• ▹Good judgement on where AI helps and where rule-based systems or human review are better
• ▹Understands evaluation, accuracy, latency, cost, privacy and failure modes
• ▹Based in Germany (remote)
• ▹Strong English communication

Nice to have

• ▹Experience in fintech, insurance, support automation, CRM or operations automation

Soft skills

What we offer

• ▹Remote work

About the company

BJAK started in 2019 as a mobile-first insurance platform and is now the leading one in Southeast Asia, expanding into financial services. Its team spans over 20 nationalities.