Applied AI Engineer 

Job Description

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.

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 do not care about evaluation, reliability or user impact.
• People who overclaim AI impact without evidence.
• Builders who cannot work with product, ops and business teams.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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