Staff Applied AI Engineer

About the company Orum is a remote-first company building an AI-powered sales platform that helps sales teams connect faster, sell smarter, and grow revenue. Their product suite includes intelligent dialing, real-time conversation insights, AI-driven coaching, and virtual sales floors. Companies using Orum connect 5x faster and book millions in new pipeline every month. About the role The Staff Applied AI Engineer will lead the design and delivery of AI-powered product features from idea to production, with a focus on LLM-based systems for coaching insights and real-time call intelligence. This is a high-impact, senior role that shapes AI strategy and best practices across the engineering organization. Responsibilities - Lead design and delivery of AI-powered product features end-to-end - Build LLM-based systems for coaching insights and real-time call recommendations - Architect low-latency, large-scale AI systems - Define and implement AI/ML best practices across the engineering org - Partner with Product and Engineering to identify high-impact AI opportunities - Build scalable data and feature pipelines for AI use cases - Establish evaluation, monitoring, and feedback loops to improve model performance - Mentor engineers and raise the bar on applied AI practices Requirements - 7+ years of software engineering experience with strong hands-on AI/ML experience - Proven track record of shipping AI/ML systems into production - Experience building and deploying ML pipelines for training, inference, monitoring, and continuous improvement - Deep experience with LLMs, prompting, RAG, embeddings, and agents - Experience training and fine-tuning models for domain-specific use cases - Strong system design skills for scalable, reliable AI systems - Experience with large-scale data systems such as pipelines, warehouses, or streaming - Ability to operate in ambiguity and drive technical direction independently Nice to have - Experience with real-time or event-driven systems - Background in speech, NLP, or conversational AI - Experience building customer-facing AI products - Familiarity with BigQuery or ClickHouse - Experience building AI systems on top of scalable data platforms Benefits & perks - Not specified Compensation Not specified