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.

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.

English is our main working language across global teams. Strong English communication is required.

Applied AI Engineer

Key skills