Permanent role: Senior Full Stack Engineer (AI Systems - Next.js/Python/Node.js)
Why This Role Stands Out
This hybrid role offers exciting growth opportunities in building innovative AI systems, allowing you to translate cutting-edge AI capabilities into reliable, user-facing products. You'll thrive here if you have production experience with AI systems and enjoy tackling complex challenges in designing end-to-end product features. Apply to join a high-caliber team and contribute to a groundbreaking AI product with flexible compensation and equity.
Quick Overview
Job Description
Senior Full Stack Engineer (AI Systems) - Permanent role
Remote (United Kingdom) | Permanent | Flexible compensation (assessed based on experience) + 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.
Small, high-calibre team is 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 is a full stack role focused on building the product layer that connects AI systems to real user-facing functionality.
The focus is on designing and operating systems that enable:
- AI workflows to run end-to-end
- Real Time AI interactions with consistent behaviour
- Product features to perform reliably under real usage conditionsYou'll be working on:End-to-end product features across Front End and Back End
- Backend services and orchestration layers for AI workflows
- Frontend systems enabling Real Time interactions, including streaming and partial responses
- Integration of LLMs, memory and external tools
- System reliability, fallback mechanisms and recovery
What They Care About
The hiring bar is centred around production experience:
- Whether you have owned systems end-to-end in production
- Your experience working with AI systems beyond simple integration
- Your exposure to practical challenges such as:latency and responsiveness
- monitoring and observability
- debugging and incident handling
- scaling systems in production environments
Tech Environment
- Next.js
- Python
- Node.js
- SQL/NoSQL databases
- LLM ecosystem (OpenAI, Anthropic, etc.)
- Docker and Kubernetes
- AWS, Azure or GCP is fine
Compensation
Flexible salary, assessed based on the candidate's impact, ownership and ability to deliver in production environments, alongside equity and performance based bonus.
Skills
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