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OnsiteStaff/Principal/Architectfintech

Staff Applied AI Engineer

DerivDubai, United Arab EmiratesPosted 19 May 2026

Deriv is seeking a Staff Applied AI Engineer to lead the technical implementation of next-generation agentic systems within their fintech platform. You will be responsible for architecting scalable production systems, bridging engineering and operations, and elevating engineering standards across the team. Candidates must have extensive experience moving beyond prototypes into reliable, high-traffic AI infrastructure. The role requires balancing rapid development with financial-grade compliance and stability requirements.

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Experience

7+ years

Function

Engineering

Work mode

Onsite, United Arab Emirates

Company

Tier 2

What you will work on

Deriv is seeking a Staff Applied AI Engineer to lead the technical implementation of next-generation agentic systems within their fintech platform. You will be responsible for architecting scalable production systems, bridging engineering and operations, and elevating engineering standards across the team. Candidates must have extensive experience moving beyond prototypes into reliable, high-traffic AI infrastructure. The role requires balancing rapid development with financial-grade compliance and stability requirements.

TAL's take

Quality 75/1005/5 clarityTier 2 company

High-impact staff role at an established fintech, driving production AI at scale.

Very clear expectations, defined responsibilities, and a concrete tech stack.

Must haves

  • 7+ years of software engineering experience
  • 3+ years building production AI systems handling real traffic
  • Experience operating across paradigms including SQL and prompt engineering
  • Strong technical architecture and leadership skills
  • Ability to balance technical debt with shipping speed

Tools and skills

pythontypescriptopenai apisanthropic apislanggraphcustom ml pipelinesawspostgresqlredisdockerlangfusevector databasesgraph databases

About the company

Established fintech product company with significant scale in production AI.

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