Applied AI Engineer (Fintech)

TL;DR

Applied AI Engineer (Fintech): Building AI-native systems for a Neobank app with an accent on AI agents, RAG systems, and automation of financial workflows. Focus on designing reliable production systems that handle KYC, risk review, and product intelligence while managing hallucination and latency risks.

Location: Hybrid in London, UK (must work from the office at least 3 days per week)

Company

A leading insurance platform in Southeast Asia expanding into a comprehensive AI-powered Neobank.

What you will do

• Build AI agents, workflows, and tools to solve customer and operational problems.
• Implement LLMs, retrieval (RAG), tool calling, and guardrails for practical financial workflows.
• Create AI-assisted experiences for KYC, onboarding, risk review, CRM, and product intelligence.
• Collaborate with product and engineering teams to identify and ship high-impact AI features quickly.
• Design systems around real-world constraints including accuracy, latency, cost, and security.
• Transform manual processes into reliable, scalable AI-enabled systems.

Requirements

• Proven hands-on experience building AI agents, LLM applications, and RAG systems.
• Strong coding ability in Python, TypeScript, JavaScript, or a similar practical stack.
• Ability to ship production-ready systems with a focus on reliability and evaluation.
• Must be based in the UK and able to work from the London office 3 days per week.
• Strong English communication skills.

Nice to have

• Experience in Fintech, banking, support automation, risk, KYC, fraud, or CRM operations.

Culture & Benefits

• International environment with teams from over 20 nationalities.
• Passion-driven culture focused on building next-generation products over the status quo.
• Fast-paced environment with a goal to complete the hiring process within one week for strong candidates.

Hiring process

• Online assessment or practical task.
• Technical interview.
• CEO / final round.