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AI Engineer (Agents)

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Onsite

AI Engineer (Agents)

Arondite

AI Engineer (Agents)

Skills

RustDeep LearningPythonJavaTesting & QAPyTorchTensorFlowMachine LearningAICompliance

21 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

3 October 2026

What they need


  • 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
  • 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

Benefits

  • Highly competitive base salary and generous equity in tax-efficient EMI options.
  • Free meals provided every day in the office, along with snacks and drinks
  • Comprehensive health and dental insurance, and opt-in cover for dependants.
  • 7 % employer pension contribution from day one.
  • Unlimited, “Take What You Need” holiday policy.
  • Relocation support if you’re moving to London from elsewhere.- 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
  • 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
  • 3 years of relevant hands-on experience with machine learning algorithms
  • Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users
  • Ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP)
  • A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms
  • The ability to write clean and maintainable code in Python, Rust, C++ or Java
  • 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
  • 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
  • Created and optimised state-of-the-art AI models for resource-constrained hardware
  • Experience working with AI in regulated environments- CV submission with initial questions
  • Introductory Teams call (30-45 mins)
  • In-person technical interview (1-2 hours)
  • Final interview with one of Arondite’s Founders (30 mins)

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