The Role
We are looking for applied AI engineers to build AI-native systems for BJAK's AI Neobank app. This is not a research-only role. We need builders who can use AI to automate real workflows, improve products, reduce manual work and make 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.
- 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
- 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.
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.
Language
English is our main working language across global teams. Strong English communication is required.