Applied AI Engineer
Listed on 2026-01-13
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Engineer
This range is provided by Data Idols. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay rangeDirect message the job poster from Data Idols
Data Science & Engineering Recruitment / Event Organiser at Data Science FestivalApplied AI Engineer
Salary: £130K - £170K + Equity
Location:
London in office
A venture-backed AI technology company is building production-grade intelligent systems used by large, complex organisations to automate high-stakes workflows. The platform focuses on reliability, scale, and safety, turning experimental AI capabilities into tools that can be trusted in real operational environments. They are hiring a Applied AI Engineer to help design and operate the core systems.
The OpportunityThis role is focused on building and ope rationalising AI systems. You ll be responsible for turning large language models into reliable, observable, and continuously improving production systems.
You ll design and deploy agent-based architectures, retrieval pipelines, and evaluation frameworks. A core part of the role is ensuring these systems behave predictably in real-world conditions, with clear monitoring, feedback loops, and safeguards.
You ll work closely with product, engineering, and commercial teams to translate complex workflows into AI-driven systems that can be trusted to operate autonomously. This is an opportunity to shape how AI agents are designed, tested, and released in a production environment.
Responsibilities- Experience in deploying AI-powered systems into production
- Strong experience in Python
- Practical experience with RAG architectures
- Clear communication and strong problem-solving instincts
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Desired Skills and ExperiencePython | LLM | RAG
Seniority level- Entry level
- Full-time
- Information Technology
- Data Infrastructure and Analytics
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