Top Tech Jobs & Startup Jobs

The Applied AI Engineer will design and implement machine learning models, develop algorithms for data validation, create data processing pipelines, and collaborate on new marketplace features, all focused on enhancing AI data solutions.

Work directly with founders at an AI startup to source and close data partnerships: identify decision-makers, run outreach, progress deals end-to-end, research global data markets, and support strategic ad-hoc projects.

Lead the design for web and product experiences, defining visual systems, collaborating with teams, and advocating for user-centered design.

Lead and build an AI-native engineering organization: own architecture (data pipelines, retrieval, reranking, knowledge graph, APIs/CLI), coach and grow engineers, set delivery cadence, balance reliability/latency/cost, and translate frontier AI research into production features.

As an AI Engineer in Cloud Infrastructure, you'll design data platforms, build APIs, and ensure high-quality, real-time data access for AI systems, while making architectural decisions for global scalability.

Design and operate retrieval systems for AI models, build evaluation infrastructure, and translate research into production systems while ensuring data quality and relevance.

Design and own a production knowledge graph from multimodal licensed sources: build ontologies, entity resolution, provenance, live updates, and graph-backed retrieval to support multi-hop agent reasoning.