Applied AI Engineer
Bjakcareer · United States
About this role
**Applied AI Engineer — BJAK** **About BJAK** BJAK’s mission is to help people get more from their money every day. Since 2019, we’ve built a mobile-first insurance platform that makes insurance accessible online across Southeast Asia. Today, we’re expanding into additional ways to help people plan, save, invest, exchange, travel, and more. **The Role** We’re looking for **Applied AI Engineers** to build **AI-native systems** for BJAK’s AI Neobank app. This is **not** a research-only role—this is a builder role focused on automating real workflows, improving products, reducing manual work, and making financial services easier for users and teams. **What You Will Build** - 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. - Partner with product and engineering teams to identify what’s worth building, then **build quickly and improve 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** - Hands-on engineering ability (not just AI strategy/management). - Experience building **AI agents, LLM apps, RAG systems, automation workflows, copilots, or AI-enabled tools**. - Strong coding ability in **Python, TypeScript, JavaScript, or similar**. - Good judgment on what should (and shouldn’t) be automated. - Ability to **ship working systems**, test quality, and improve reliability over time. - Fintech/banking/support automation/risk/KYC/fraud/CRM/operations automation experience is a **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 don’t care about evaluation, reliability, or user impact. - People who overclaim AI impact without evidence. - Builders who can’t work with product, ops, and business teams. **Location & Language** - **Remote**, but candidates must be **based in the US**. - **Strong English communication** required. **Interview Process** Our process is designed to move...
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