AI Engineer, Arondite
+Generous equity in EMI share options
More information about location
AI and autonomous sytems for the defence sector
Be an early applicant
AI and autonomous sytems for the defence sector
21-100 employees
Be an early applicant
+Generous equity in EMI share options
More information about location
21-100 employees
Company mission
To enable organisations to wield autonomy, data and AI at scale.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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
Application process
- 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)
Salary benchmarks
Our take
Modern defence operations rely on networks of drones, robots and sensors, but these systems are often built by different manufacturers and struggle to work together. This fragmentation makes it harder to share information quickly, slowing decision-making and increasing risk in high-pressure environments.
Arondite addresses this by creating software that connects these systems into a single platform. Its Cobalt system links different hardware, combines their data, and gives operators a clear real-time view. Rather than replacing equipment, it integrates existing tools and uses AI to support mission planning, coordination, and human-machine teamwork. And its technology is already being developed with partners like Babcock International for the Royal Navy's move toward a mix of crewed and autonomous systems.
Unsurprisingly, Arondite is gaining momentum as demand for AI defence tools grows. Now with over $12M in funding, the company is expanding across Europe, running trials, and refining its platform. Its focus is on helping defence organisations safely manage increasingly complex, connected technologies at scale.
Steph
Company Specialist at Welcome to the Jungle
Company
Company 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.
Company HQ
Westminster, London, UK
Leadership
Will Blyth
(Co-Founder & CEO)Previously served in the British Army for 12 years. They then moved on to work as a Defence Strategy Lead at Panatir Technologies and in Partnerships & Programmes at Helsing before co-founding Arondite in December 2023.
Rob Underhill
(Co-Founder & CTO)Graduated from the University of Cambridge with a Master's in Electronic Engineering. They previously served as the Head of Product at Garrison Technology and as a Lead Engineer at BAE Systems Applied Intelligence.
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