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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Arondite - **Location:** London, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Software Design Patterns, Human-Computer Interaction, Python (Programming Language), Machine Learning, Object Detection, Tensorflow, Rust (Programming Language), Enterprise Software Applications, Pytorch, Large Language Models, Deep Learning, Backend, Information Technology, Machine Learning Operations - **Published:** July 25, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=8ce017e96578a80d ## About the Role Arondite aims to bring together individuals from diverse backgrounds and with different perspectives. We therefore don't expect people to have experience across every area of the requirements. Please apply even if you only partially fulfil the following lists. You should have: * Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field * 1 year of experience developing agentic AI in production ready environments * 3 years of relevant hands-on experience with machine learning algorithms * The ability to write clean and maintainable code in Python, Rust, C++ or Java * A strong background in the mathematical foundations of core ML algorithms, paired with hands-on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) * Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users * A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms Ideally, you would also have: * PhD in machine learning, or a related field * Authored publications in top-tier journals and conferences (e.g. NeurIPS, ICLR, ICML, EMNLP) * Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance * Experience working with AI in regulated environments * Created and optimised state-of-the-art AI models for resource-constrained hardware Right to Work We require that all candidates have an existing Right to Work in the UK at the time of application. Security clearance We believe in working closely with defence customers. As a result, this role will require the individual to hold a clearance or be willing to undergo UK security vetting to Security Check (SC) or above. This normally requires having continuous residency in the UK for at least 5 years. ## Description Arondite is looking for AI Engineers to understand our customers' problems and implement solutions using AI. We want people who are excited about the opportunity to take ownership for building AI within a high-performance, mission-focused team. You will be involved in the creation of advanced agentic designs, engineering the harness required to deploy Large Language Models (LLMs) that are able to take actions within highly controlled and compliant environments. This is a unique application of agentics, pioneering how agentic AI can be safely and effectively leveraged in high-stakes scenarios. Depending on your expertise, you may also work in perception by applying state-of-the-art object detection and multi-modal algorithms (such as CLIP and CLAP) across diverse, real-time sensor streams. To succeed, you must possess strong architectural intuition, deeply understanding the technical compromises inherent in model selection and able to identify the optimal agentic design pattern for specific tasks Your responsibilities will include: * Building core agentic product features; researching, planning, refining, executing and maintaining * Collaborating with other engineers to integrate AI into our enterprise software product * Designing end-to-end AI solutions from the backend to user interface, and deploying them both in cloud environments and on-premise. * Inventing novel capabilities and optimising existing approaches whilst remaining aware of ethical implications of your engineering decisions * Documenting and explaining your solutions to provide evidence of compliance with policies regarding the safe use of AI * Building secure, robust solutions by adhering to coding standards throughout the development lifecycle ## Related Videos - [Your next 10x engineer isn't in your city. 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