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Full-Time Roles
From day one on our Full-Time Programmes, you could be building core system logic that powers enterprise intelligence, or helping design multi-agent workflows that make systems adaptive and autonomous. You'll be trusted to make an impact, and supported every step of the way.
Backend Logic Engineer
Build core system logic that powers Arealis' AI and financial infrastructure. Work with FastAPI, distributed systems, and real-time orchestration.
Full Stack Engineer
Create, connect, and scale full-fledged AI-driven applications. You'll own features end-to-end, from API design to UI delivery.
Frontend Engineer
Design minimal, powerful interfaces that make intelligence visual. Work with React/Next.js, Tailwind, and real-time data rendering.
Research Engineer
Experiment, build prototypes, and push the limits of distributed AI. Work with LAMs, data optimization, and reinforcement learning setups.
AI Systems Engineer
Design multi-agent workflows that make systems adaptive and autonomous. Focus on orchestration, feedback loops, and large-action models.
Deep Learning Engineer
Develop and train AI models for financial pattern recognition and real-time decisioning. Work with PyTorch, TensorFlow, and model deployment stacks.
Machine Learning Engineer
Build applied ML systems for enterprise prediction and data insight. Work on pipelines, retraining logic, and production inference.