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We’re hiring AI Developers who actually ship.
Not researchers. Not course collectors. Not theory-heavy CVs.
If you’ve built, deployed, and improved real AI systems in production — this is for you.
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What You’ll Do
* Build and deploy AI/ML systems used in live environments
* Work on LLM-driven tools (automation, decisioning, optimisation)
* Turn messy, real-world data into usable models
* Integrate AI into APIs, platforms, and internal tools
* Improve performance, reduce cost, and scale what works
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What We Expect (Non-Negotiable)
* 3–5 years hands-on AI/ML experience
* You’ve deployed models into production (not just notebooks)
* Strong Python and solid engineering fundamentals
* Experience with PyTorch or TensorFlow
* Experience building APIs / backend services
* Comfortable working with large, messy datasets
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Modern AI Capability (Critical)
* Hands-on with LLMs (e.g. GPT models)
* Experience with:
* Prompt engineering
* RAG (retrieval-augmented generation)
* Adapting models to real business use cases
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Deployment & Scale
* Experience deploying to cloud (Amazon Web Services / Microsoft Azure / Google Cloud Platform)
* Familiar with Docker and production environments
* Understand latency, cost, and scaling trade-offs
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What Matters Here
* You can turn a business problem into a working AI solution
* You move fast and deliver
* You care about output, not theory
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Bonus (Useful, Not Required)
* Fintech / payments experience
* Fraud detection, risk modelling, or transaction data
* Real-time systems
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What This Isn’t
* Not a research role
* Not a training programme
* Not a place to learn basics
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Simple Rule
If you haven’t shipped AI into production, this role isn’t for you.