11 days ago
Remote, EMEAStaff+
Responsibilities
- Design the foundations, architecture, and technical roadmap for Hume’s AI layer, focusing initially on Hume Maestro.
- Contribute hands-on to the codebase and establish standards for technical excellence, performance, scalability, and maintainability.
- Drive AI/ML engineering practices including model evaluation and deployment pipelines.
- Collaborate with Product Managers and the Chief Scientist on shared technical and product decisions.
- Partner with front-end and platform engineers to integrate AI capabilities into the Hume user experience.
- Translate high-level product vision and research into production-ready engineering solutions.
- Potentially build and mentor a dedicated AI engineering team as the function expands.
Requirements
- Proven experience as a Senior or Lead Engineer with deep expertise in artificial intelligence and machine learning.
- Strong experience designing and deploying AI architectures, particularly involving LLMs, graph-based AI, or complex data processing layers.
- Ability to connect research and strategic vision with production-ready engineering.
- Experience collaborating with Product and Science stakeholders to balance technical debt, innovation, and delivery speed.
- Strong communication and coordination skills, with a desire to eventually lead and inspire a team.
- Experience in B2B SaaS or high-growth deep-tech environments is highly preferred.
Benefits
- Opportunity to shape the AI capabilities of Hume and contribute to the future of graph intelligence and data analytics.
- Potential path from an individual contributor/lead role into building and mentoring an AI engineering team.
- Collaborative, inclusive, and empowered workplace culture focused on relationships, user success, innovation, and open discussion.
- Role intended for candidates based in the UK, Czechia, or Italy.
Tech Stack
Neo4j
Categories
