Bjak - Applied AI Engineer (Thailand)

• Build AI agents, workflows, tools and automations that solve real customer, product and operations problems. • 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 real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust. • Turn manual processes into reliable AI-enabled systems that can scale. • What We Look For • What We Look For • 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. • Strong coding ability in Python, TypeScript, JavaScript or similar practical stack. • 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. • This Role Is Not For • People who only want research projects with no production ownership. • Candidates who treat AI as demos instead of working systems. • Engineers who do not care about evaluation, reliability or user impact. • People who overclaim AI impact without evidence. • Builders who cannot work with product, ops and business teams. • The Bar • The Bar • We are looking for engineers with real technology career highlights. A strong highlight is not just working at a famous company. A strong highlight means you personally helped build, ship or scale a serious product, platform or system. • Location • Location • This role is remote, but candidates must be based in Thailand. We are hiring specifically for this market, so applicants should already be based in Thailand. • Thailand • Thailand • Language • Language • English is our main working language across global teams. Strong English communication is required.