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Arondite

Integrates multi-vendor autonomous defense systems

AI Engineer - Agents

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • A Master's degree (MSc, MEng, etc.) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field.
  • One year of experience developing agentic AI in production-ready environments.
  • Three years of relevant hands-on experience with machine learning algorithms.
  • Ability to write clean and maintainable code in Python, Rust, C++, or Java.
  • Strong background in the mathematical foundations of core machine learning 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 work effectively and present it to relevant stakeholders and users.
  • Existing right to work in the UK at the time of application.
  • Must hold or be willing to undergo UK security vetting to Security Check (SC) or above; this normally requires at least five years of continuous UK residency.

Responsibilities

  • Build core agentic product features by researching, planning, refining, executing, and maintaining them.
  • Collaborate with other engineers to integrate AI into the enterprise software product.
  • Design end-to-end AI solutions from backend to user interface and deploy them in cloud and on-premise environments.
  • Invent novel capabilities and optimise existing approaches while considering the ethical implications of engineering decisions.
  • Document and explain solutions to provide evidence of compliance with policies regarding safe AI use.
  • Build secure, robust solutions by adhering to coding standards throughout the development lifecycle.

Desired Qualifications

  • PhD in machine learning or a related field.
  • Authored publications in top-tier journals and conferences such as NeurIPS, ICLR, ICML, or EMNLP.
  • Experience working with MLOps infrastructure or deploying AI models to production, including 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.

About the Company

Arondite

Integrates multi-vendor autonomous defense systems

Arondite builds a software platform called Cobalt that connects and manages autonomous systems from different manufacturers through a hardware-agnostic layer, unifying drones, robots, and sensors under one cockpit. It uses machine learning to process data from various assets and deliver real-time analytics to operators, enabling better decision-making and sensor fusion without needing new hardware. Unlike rivals that push specific hardware ecosystems, Arondite focuses on software interoperability to wire diverse systems together for defense, critical infrastructure, and security uses. Its goal is to improve operator decision-making, efficiency, and safety by enabling seamless interoperability across multiple vendors and use cases.

Company size
51-200
Company stage
Seed
Total funding
$12.3M
Headquarters
London, United Kingdom
Founded
2023

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