Applied AI Engineer
Core
Build AI-native systems and agents for an AI Neobank app to automate financial workflows and improve user experiences.
Role type
Applied AI Engineer (Production Systems)
Builds
AI agents, automation workflows, and AI-assisted experiences for onboarding, support, KYC, risk review, and operations.
Domain
Fintech / Neobanking / AI Automation
Deliverable
production ML models | product features
Required skills
Python, TypeScript, JavaScript, LLM application, RAG systems, AI agent development, automation workflows, tool calling, evaluation design, guardrails implementation, system reliability engineering, production deployment
Preferred skills
Fintech domain knowledge, banking operations automation, risk management, KYC processes, fraud detection, CRM automation
Technologies
LLMs, RAG, Python, TypeScript, JavaScript
Responsibilities
Build AI agents and automations to solve customer and operations problems; Apply LLMs and tool calling to practical financial workflows; Design systems balancing accuracy, latency, cost, and security; Turn manual processes into scalable AI-enabled systems; Collaborate with product and engineering teams to define and ship features.
Seniority
Mid-Senior, hands-on IC
