Arondite

AI engineer

In short

AI Engineer role at Arondite, a London-based startup building AI and autonomy software for mission-critical decision-making. The job covers building agentic product features, designing end-to-end AI solutions, and integrating AI into an enterprise software product, deployed in cloud and on-premise environments. Requires a Master's degree, 1 year of agentic AI production experience, 3 years of ML experience, strong Python/Rust/C++/Java skills, and UK security clearance (SC or above) with existing Right to Work in the UK. Hybrid work in London, with the company preferring in-office presence by default.

About Arondite
Arondite enables organisations to wield autonomy, data and AI at scale. We equip operators with the foundational software to orchestrate their mix of platforms and capabilities, and then take mission-critical decisions faster than their adversaries. 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.
Responsibilities
•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
Requirements
•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
•Candidates must have an existing Right to Work in the UK at the time of application
•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
Nice to 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
Conditions
We believe in making the office a friendly, comfortable and fun place to be, and we try to work from the office where possible. There are times when it makes sense for you to work from home and that's OK. You may also need to travel to visit customers, depending on your role. But in general you should only apply to join Arondite if you're excited to come into the office and work in person by default.
•Highly competitive base salary
•Generous equity in EMI share options in a well-funded and growing startup
•7% employer pension contribution
•Free meals in the office every day
•Private health and dental insurance, with opt-in cover for dependents
•Cycle to work scheme
•Relocation support
•Access to any resources, equipment and training that you need to do your job in a world-class way

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