Senior AI Engineer (Build & Deployment Focus)

AI Engineer (Build & Deployment Focus) £80,000 - £100,000 + Equity

I'm working with a UK firm looking for a remote MLE to join them on a permanent basis. The firm works in risk and fraud detection and has a well-adpoted suite of products which are being incorporated into more industries and thus, more use cases. As such they're now looking for a mid-senior AI Engineer to design, build, and deploy robust AI pipelines and agent-based systems. This role is ideal for someone who enjoys end-to-end ownership of production systems, thrives on practical delivery, and is passionate about shipping real-world solutions.

Note: This isn't a founder role, they're looking for a low-ego individual who can work collaboratively as part of a remote team within the UK. For candidates, it would be really beneficial if you've come from a start-up / scale-up background and have worked in a similar fashion.

Key Responsibilities:

• Design, implement, and improve multi-agent pipelines using LLMs, VLMs, OCR, and forensic tools.

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• Develop end-to-end AI systems (e.g., Retrieval-Augmented Generation, agent orchestration, memory management).
• Deploy, monitor, and iterate on production AI pipelines in cloud environments (AWS preferred).
• Ensure scalability, reliability, and maintainability of deployed systems.
• Work closely with product and engineering teams to deliver solutions that meet business needs.

Requirements:

• Strong Python engineering skills with a focus on production-quality code.
• Experience with LLMs (Large Language Models), VLMs (Vision Language Models), and/or document/image analysis.

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• Hands-on experience with cloud platforms (AWS preferred; Azure also valued).
• Familiarity with orchestration and agent frameworks (LangChain, LangGraph, etc.).
• Ability to design and deploy robust, scalable AI pipelines.
• Bias toward practical delivery and iterative improvement (not over-engineering).
• Collaborative team player; able to communicate clearly and iterate quickly.

The role is fully remote but only open to UK based candidates without need of visa sponsorship.