Applied AI Engineer

The challenge

Were not hiring software engineers who sometimes use AI. Were hiring builders who dont write code without it.We need you to ship applications, platforms, and systems using Claude Code, Cursor, and whatever comes next as your primary development environment. The underlying AI knowledge isnt the point. Building is.

Why this matters

AI-first development isnt a productivity hack. Its a different way of building software. You design systems by describing them. You refactor by explaining whats wrong. You debug by showing the AI the error and the context. You ship in days what used to take weeks.

Weve proved this works. Whether its structured spec-to-implementation workflows or conversational vibe coding with frontier models, we ship production systems using AI as the primary development interface. Now were scaling it. We need engineers whove already made this shift.

Why Deriv

Our mission is Trading for Anyone, Anywhere, Anytime. Millions of traders, around the clock, across regulatory regimes. We need to ship faster than traditional development allows.

Were shipping, not experimenting. We build products for over 3 million traders, built with AI and live in production. Amy handles all customer enquiries: ~80% resolved autonomously, the rest are resolved through agent-to-human collaboration on Slack. Were ideating and building entirely new trading experiences with AI.

Were building autonomous systems to run entire business functions. HR, security, marketing, compliance, product and finance. Were creating systems that operate these functions with human collaboration. This is the direction were heading.

We share what we learn. Deriv documents what were shipping, what breaks, and what we figured out the hard way.

What youll do

Ideate and build with AI. Use AI to explore problem spaces, generate product ideas, and define what to build. Go from vague problem to working prototype without waiting for detailed specs

Code with AI as your co-developer. Use Claude Code, Cursor, or similar tools as your main interface for building. Generate, refactor, test, and document code through AI collaboration. Evolve your workflows continuously

Review and improve, not just generate. Use AI to review AI-generated code, catching issues at scale. Build guardrails and feedback loops that surface problems automatically

Ship end-to-end. Own the full arc—idea, architecture, implementation, deployment, iteration. Ship features that go to production. Not prototypes. Not demos

Explore autonomous AI systems. Help build and deploy AI agents that run continuously, maintain context, take real actions, and work proactively. This is experimental territory—youll help define how it works

Who you are

You already code this way. 2-8 years of software engineering experience, and youve made the shift to AI-first development. You reach for Claude Code or Cursor before you reach for the keyboard. This isnt aspirational for you; its how you work.

You ship production software. Not POCs or side projects that never launched. Real systems that handle real users, break in unexpected ways, and taught you things the AI didnt know.

You move fast and fix things. Speed matters. Perfect is the enemy of shipped. You prototype, test with real users, and iterate based on feedback. When something breaks, you fix it. You dont file a ticket.

Youre a builder, not a specialist. Full-stack comfort. Frontend, backend, APIs, databases, deployment. You do what the project needs. Youre not precious about your domain.

Bonus: Youve experimented with autonomous agents. Claude Agent SDK, OpenClaw, OpenAI Codex agents, or built your own always-on AI systems

Tech stack

This role is tool-agnostic. What matters is output, not allegiance to specific models or IDEs.

Current tools we use:

• AI Development: Claude Code, Cursor, Claude (Opus, Sonnet), GPT-5.2, Grok 4.1, Qwen3, GLM-4.7, Kimi K2.5
• Autonomous Agents: Custom agent frameworks, experimenting with tools like OpenClaw
• Languages: TypeScript, Python, and whatever the project needs
• Infrastructure: AWS, GCP, PostgreSQL, Redis, Docker