AI Engineer

Employment: Full-time Education: Bachelor's Degree This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is disrupting the legal profession around the globe. We are looking for Software Engineers, ML Engineers, AI Engineers, or Data Scientists with a hacker mentality and a strong background in production-grade AI applications. Experience in the use of LLMs (e.g. GPT, Claude, Mistral, etc.) is essential, ideally with familiarity in Agentic environments. With ambitious growth plans, we need bright, passionate, and driven people to achieve these goals. From day one, you will be building features and tools for some of the world’s largest businesses. Speed and quality of execution are a must. You will be working on AI prototypes that combine multiple components to reliably solve complex tasks in nuanced scenarios. You will be expected to integrate novel agentic technologies (e.g. memory usage and personalization) and productionise your solutions into reusable libraries and frameworks. If you are excited about this role but your skill or experience doesn’t perfectly align with the job description, we encourage you to apply anyway. Your drive to build and learn is by far the most important requirement for any applicant to Luminance! Desired Skills Understanding of software development best practices and architecture, particularly of web-hosted platforms composed of applications with underlying services. Drive and enthusiasm to see projects through to completion. Desire to learn new things and capability to do so quickly. Empathy and curiosity to deeply understand the workflows of legal and business tasks. Requirements Bachelor's or Master's degree with a First or high 2:1, preferably in a technical subject. Experienced in Python and its ecosystem. Diligently follow the space, and proactively try new AI technologies (Agents, MCP, RAG, Chain-of-Continuous-Thought, etc.).