Build AI co-intelligence. Not tools.
While others theorise about AI transformation, we're shipping autonomous intelligence to production. Whether you're a product-minded engineer or a tech-minded domain specialist reimagining how your function operates, if short feedback loops, rapid deployment, and novel problems without playbooks excite you, we're hiring.
What you'll experience
Work on genuinely novel problems
You'll tackle challenges without established playbooks. Building multi-agent systems that transform product specs into production code, designing autonomous security operations platforms that triage threats in real-time, creating AI colleagues that handle millions of customer interactions with appropriate judgment and escalation, and more. These aren't incremental improvements; they're fundamental business problems.
Pioneer where it matters most
Fintech combines the speed of tech with the stakes of finance. Real money, real regulations, real consequences. This creates the perfect environment for pioneering AI systems: you can move fast, deploy to production rapidly, and solve problems with real-world constraints. While other industries theorise about AI transformation, we're shipping.
Accelerated learning across the full stack
Work across Software 1.0 (traditional engineering), Software 2.0 (ML models), and Software 3.0 (LLM orchestration) to build hybrid systems. Touch everything from customer experience to developer tooling, security infrastructure and business process. The breadth of problems and intensity of production deployment create exceptional learning velocity for you and our teams.
Meaningful impact at scale
Your work will transform how we operate and how millions of customers interact with Deriv. Whether you're building AI systems that autonomously handle customer support, orchestrating agents that generate production code, deploying security platforms that protect real money and data, or democratising AI capabilities across business functions, you'll ship production systems with measurable outcomes and real stakes.
How we’re building with AI
AI products today are hybrid systems combining three distinct paradigms. We architect and ship these integrated systems:
Software 1.0
Deterministic system
Traditional code, APIs, databases, and infrastructure. The foundation that still runs most systems and handles deterministic logic.
Software 2.0
Predictive systems
Custom ML models, fine-tuning, and specialised architectures. Where domain-specific requirements demand tailored solutions.
Software 3.0
Agentic systems
LLM APIs, prompt engineering, and agent orchestration. Flexible reasoning and decision-making capabilities. Generate code, configure systems, or orchestrate low-code/no-code platforms to execute solutions.
Where we're heading
We're working towards sophisticated multi-agent systems where specialised AI roles coordinate like virtual teams. Think elaborate orchestration patterns, autonomous workflow routing, and emergent problem-solving capabilities that leverage the power of thinking models.
For us, this is uncharted territory. We need engineers and domain specialists who can architect these systems, optimise role definitions at scale, and solve coordination challenges that don't yet have established patterns.
If building the infrastructure layer for autonomous AI collaboration excites you, we're building it now.
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The opportunities
AI careers at Deriv span multiple teams and functions. Whether you join a dedicated AI team, a product engineering team, or bring AI expertise to a business function, we're looking for two types of talented people:
Product-minded AI engineers
Build production AI systems to drive the customer experience and operations of a fast-paced, global fintech business.
Here's what you could be doing at Deriv:
Create AI that generates production-ready code and interfaces
Build intelligent security systems that protect our users and platform
Develop AI colleagues that handle millions of customer interactions and make autonomous decisions
Ship AI solutions that solve real problems for traders worldwide and iterate based on real-world outcomes
What we're looking for:
Strong software engineering fundamentals with production system experience
Deep understanding of LLMs, prompt engineering, and scalable AI reliability
Comfort with ambiguity and ability to architect solutions for novel problems
Security-first mindset for building systems that handle real money and regulations
Focus on measurable outcomes over theoretical perfection
Tech-minded domain specialists
Transform your function by designing and deploying AI systems for your domain.
Here's what you could be doing at Deriv:
Design AI systems that solve your domain's biggest challenges
Build AI workflows that support decisions, improve consistency, and uncover patterns
Collaborate with engineers to bring your AI vision to life
Translate domain expertise into AI capabilities, training data, and measurable outcomes
What we're looking for:
Deep domain expertise with experience solving complex, ambiguous problems
Technical literacy across system architecture, APIs, and data analysis
Builder mindset with a bias for shipping and improving
Strong analytical skills and comfort with data-driven decision-making
Enthusiasm for reimagining your function, not just optimising workflows
Meet the innovators
Behind the desk: Employee stories
Mark O' Donnel
Building reliable trading platforms on AI-driven QA
Deriv’s QA team uses AI tools to automate testing, uncover more edge cases, improve product quality, and empower collaborative, faster releases.
Harsh Solanaki
How Aditude empowers Design teams
See how Aditude, our in-house AI platform, empowers our design team, streamlines workflows, and accelerates creative campaign production.
Christo Georgiou and Rafail Pachitis
Riding the wave and adapting quickly to AI
Our trading team explains how Deriv's AI adoption enabled automated tasks, team empowerment, innovation, and collaboration company-wide.
Our culture
We combine human values with AI precision. Collaboration, integrity, and continuous learning guide every project.
Customer focus
We obsess over customers, prioritising measurable user value and using AI to surface insights and tailor experiences, always keeping human judgment central.
Integrity
We act with candour and accountability. We make clear trade-offs, give honest feedback, and design our AI and data use with ethics and transparency to build trust.
Teamwork
We move together in cross-functional teams. We share credit, solve problems collaboratively, and welcome diverse perspectives to deliver better outcomes.
Competence
We hold high standards and keep learning. We pair deep expertise with pragmatic delivery from prototype to production, and we use AI thoughtfully to amplify judgment and scale impact.
