Graduate - Junior AI / ML Software Engineer

We’ve been busy building the physical security intelligence platform of the future. Our always-connected platform automatically detects risks, captures evidence and reports on real-world events as they happen, delivering intelligent insights through an intuitive user interface, all hosted in the cloud. Our product is designed so commercial organisations - including, but not limited to, private security, retail, and hospitality - never miss an incident.

We have a genuine level of success under our belts that you could help to contribute to. Today, we’re a growing, hands-on team spanning product, design, finance, marketing, sales, hardware, and software engineering. You’ll be working closely with a small, experienced engineering team, building real features in a modern frontend codebase from day one.

We care deeply about helping early-career engineers grow fast and with confidence. It’s a high-trust, low-ego environment designed to help you accelerate your skills while contributing meaningfully. We’re using modern technology stacks across our infrastructure and frontend, and AI-assisted tooling to move fast and stay focused - and you’ll be an integral part of shaping both the user experience and the engineering foundations as we scale.

You will work on the AI/ML systems that turn raw audio and video into useful, structured output - and increasingly into agents and analytics that act on it:

• Prompt and schema engineering against frontier multimodal models - getting reliable structured output from messy real-world data, diagnosing failure modes, and iterating on prompts that survive model upgrades.
• Agentic systems - designing and building agents that plan, use tools, and reason over our data.
• Realtime model optimization - working with high performance efficient models for edge analytics, filtering, understanding and event extraction.
• Retrieval and semantic search - building the indexing, embeddings, and retrieval layers that make our RAG and agent systems actually useful, not just demo-grade.
• Computer vision - object detection, recognition, and other CV techniques applied to our video data, alongside (and sometimes instead of) multimodal LLMs.
• Statistical analysis and insight generation - turning the structured output our pipelines produce into trends, summaries, and product-surfaced insights.
• The backend and infrastructure that holds it together - building the cloud services that run the pipeline reliably at scale.
• Audio and video understanding - transcription, speaker work, event detection, and the narrative/structured outputs the product surfaces.
• Some lower-level work in C/C++ and firmware where models need to run on-device under real-time constraints.

The mix shifts week to week. We're small, so you'll move between prompt iteration, backend code, eval tooling, retrieval/agent work, and looking at real data to understand why something went wrong.

A few years of commercial (or equivalent) experience shipping ML-driven features in production - cloud, embedded, or both. Our stack spans Go (backend and ML orchestration), Python (offline eval, analysis, prototyping), and some C/C++ for edge work. However, solid experience in any relevant language is fine - we don't require prior expertise directly in these.

Bonus if you've built agents, tool-use systems, or non-trivial retrieval pipelines. Comfortable with data analysis - looking at examples, building labelled sets, choosing the right method (statistical, ML, or LLM-based) for the question, and drawing conclusions you'd defend. Good instincts for picking the right tool - when an LLM is the answer, when a smaller model is, when it's a heuristic, when it's 'we don't have enough data yet.'

A strong CS/STEM background and the kind of curiosity that makes you dig into the data when something looks off. Frontend experience (Vue/React) is a bonus but not required. Ship features against tight milestones, end-to-end where needed. Own the quality of the AI output you put into production - including the evals that prove it. Help shape how the team works as we grow.

We offer a competitive salary, equity options, and healthcare, along with the opportunity to build a product that makes a real impact.