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Senior Python Backend Engineer (AI/LLMs) - Permanent Position
Posted 2 days 5 hours ago by Nicoll Curtin Technology
Senior Python Backend Engineer (AI/LLMs)
Remote (United Kingdom) | Permanent | Flexible compensation (DOE), performance based bonus + equity
We're working with a well-established, tech-led business that is building a new AI product focused on handling real-world tasks, workflows and decision-making.
This is a small, high-calibre team building systems where AI capability is translated into reliable, structured product behaviour, with a strong emphasis on execution and consistency in real usage.
The product focuses on:
- Long-running workflows
- Persistent context
- Multi-step task execution
- Integration with external systems
The core challenge is designing systems that can apply model capability in a structured and reliable way, even when behaviour is non-deterministic.
The Role
This role sits in the Back End layer that connects models to the product.
The focus is on designing and operating systems that enable:
- AI workflows to run end-to-end
- APIs to serve AI features consistently
- Systems to perform reliably under real usage conditions
You'll be working on:
- Inference pipelines and orchestration layers
- Backend services for AI-driven workflows
- Performance considerations such as latency, throughput, batching and caching
- Monitoring, logging and production reliability
What They Care About
The hiring bar is centred around real production experience:
- Whether you have owned Back End systems end-to-end in production
- Your experience working with AI systems beyond simple integration
- Your exposure to practical challenges such as:
- latency and throughput optimisation
- monitoring and observability
- debugging and incident handling
- scaling systems in production environments
Tech Environment
- Python (primary Back End language)
- Node.js
- SQL/NoSQL databases
- LLM ecosystem (OpenAI, Anthropic, etc.)
- Docker and Kubernetes
- AWS, Azure or GCP is fine
Compensation
Flexible compensation assessed based on the candidates impact, ownership and ability to deliver in production environments, alongside equity and performance based bonus.
Nicoll Curtin Technology
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