Applied AI Engineer - AI Finance Agent
About the role
Bjak is hiring an Applied AI Engineer in the Philippines to build production AI-native systems for its AI Finance Agent. The role turns customer-support, CRM, onboarding, claims, and payments workflows into reliable LLM-powered automations, with evaluation, monitoring, and fallbacks. Candidates must already be based in the Philippines; the role is remote within that market.
What you'll do
- Build AI-powered workflows, assistants, agents, and automation systems for Bjak's AI Finance Agent.
- Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations, and internal tools.
- Work with product and engineering teams to turn manual processes into scalable AI-native systems.
- Build integrations with LLMs, internal data, APIs, documents, knowledge bases, and business systems.
- Design evaluation, monitoring, and fallback flows so AI outputs are useful, safe, and reliable.
- Prototype quickly, test with users or operators, then productionize what works.
Requirements
- Must already be based in the Philippines; Bjak is hiring specifically for this market.
- Strong software engineering foundation, preferably with Python and backend systems.
- Hands-on experience building 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.
- Experience in fintech, insurance, support automation, CRM, or operations automation is a strong advantage.
- English is the main working language.
About Bjak
Bjak is a Southeast Asia mobile-first insurance and consumer-finance platform. It is expanding from insurance into spending, saving, investing, and other money products.
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