Job Description

The Role

We help enterprise customers build AI systems tailored to their specific work. Our goal is to deliver better economics than relying solely on closed-source models such as Claude, Gemini, and OpenAI.

You will work across model customisation, deployment, agent systems, and customer delivery. We do not expect one person to specialise in everything. You should bring strong experience in at least two of these areas and be comfortable collaborating across the others.

What you will do

As a mid level engineer you will be working independently and confidently owning delivery across:

Model customisation

• Turn customer use cases into training and evaluation plans.
• Select suitable data, models, and training approaches.
• Fine-tune and evaluate models for specialised domains.
• Improve quality based on testing and production feedback.

Deployment and inference

• Design cost-effective cloud or on-prem deployment approaches.
• Select suitable infrastructure and serving configurations.
• Improve reliability, latency, and operating cost.
• Build monitoring, backup, and recovery processes.

Agent systems

• Build agent workflows around language models.
• Connect models with customer data, tools, and existing systems.
• Add the controls and observability needed for production use.

Customer delivery

• Work with customers to understand their requirements and constraints.
• Explain trade-offs between quality, cost, privacy, and complexity.
• Help take solutions from early discovery through production launch.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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