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Applied AI Engineer

Talentmate

United Arab Emirates

24th December 2025

2512-2061-45

Job Description

The challenge

You’re leaving the safety of Jupyter notebooks to wrestle with the tension of stochastic models in a deterministic financial world. You’ll encounter a codebase processing millions of transactions where "it works on my machine" is not a valid defence, bridging the gap between tutorial implementations and high-scale systems to build co-intelligence that decides and executes without a human holding its hand.

See what we’re shipping at Deriv.

Why this matters

Derivs mission is Trading for Anyone, Anywhere, Anytime. Millions of traders, around the clock. This scale demands AI that works in production, not prototypes that demo well.

Were already here: AI resolving 65%+ of customer enquiries, writing and reviewing code, processing invoices, and screening candidates. Not experiments. Production systems youll help extend.

Why Deriv

Learn by building, not by watching. Heres where youll do it:

Customer experience: Building AI that handles conversation, outreach, and lifecycle management.
Developer infrastructure: Building the systems that build systems (Spec-to-PR, QA automation, security scanning).
Business functions: Building the AI that runs Deriv (finance workflows, HR automation).

Your placement depends on team needs and your interests. Youll likely focus on one area but touch several, with real ownership and support along the way.

What youll do

Build features that go to production: You wont just write scripts; youll ship code that runs in live environments.
Work across three paradigms: Youll learn to combine deterministic systems (code), predictive models (ML), and agentic systems (LLMs).
Learn from failure: Youll understand why guardrails matter when a 1% error rate means thousands of wrong decisions.
Pair with experienced engineers: Youll own small features end-to-end with guidance from senior mentors.

Who you are

You write code that runs: Python or another language you genuinely enjoy. You know syntax is easy; making things work in production is where it gets interesting.
Youve touched ML or LLMs: Courses, side projects, experiments. Enough to know what you dont know yet.
You deliver reliably: You distinguish urgent from important and keep your promises on delivery dates.
Youre comfortable being wrong: Youll ship code that breaks. Thats how you learn—if you can admit it and fix it.

Tech stack

Languages: Python, TypeScript
AI/ML: OpenAI APIs, Anthropic APIs, LangGraph, Custom ML Pipelines
Infrastructure: AWS, PostgreSQL, Redis, Docker, LangFuse

The honest reality

This is demanding work. Youll face problems without clear answers. Youll ship code that breaks and fix it under pressure. Some weeks will be frustrating.

But youll ship AI that runs—not demos, not prototypes. Youll see your work handling real transactions. And youll grow fast.

Job Details

Role Level:	Entry-Level	Work Type:	Full-Time
Country:	United Arab Emirates	City:	Dubai
Company Website:	https://www.deriv.com/careers	Job Function:	Information Technology (IT)
Company Industry/ Sector:	Financial Services

What We Offer

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