Staff Applied AI Engineer

🕒 May 22

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Orum

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

Orum is an AI-powered live conversation platform designed to enhance the efficiency and success of sales teams globally. It supports calling into over 160 countries with multi-language AI detection, enabling sales reps to automate outbound calling, find better leads, and engage in more live conversations. Orum provides a comprehensive suite of products including dialers, salesfloor opportunities, coaching, analytics, and integrations with platforms like HubSpot and Salesforce. Its mission is to enable sales teams to increase productivity, streamline operations, and drive more revenue, all while ensuring data protection and privacy adherence.

📋 Description

• Lead the design and delivery of AI-powered product features from idea to production • Build LLM-based systems for coaching insights and real-time recommendations during calls • Architect systems that support low latency and large-scale AI use cases • Define and implement AI and ML best practices across the engineering org • Partner with Product and Engineering to identify high-impact AI opportunities • Build scalable data and feature pipelines to support AI use cases • Establish evaluation, monitoring, and feedback loops to improve model performance • Mentor engineers and raise the bar on applied AI engineering practices

🎯 Requirements

• 7+ years of software engineering experience with strong hands-on AI and ML experience • Proven track record of shipping AI and ML systems into production • Experience building and deploying ML pipelines for training, inference, monitoring, and continuous improvement • Deep experience with LLMs and modern AI tooling, including prompting, RAG, embeddings, and agents • Experience training and fine-tuning models for domain-specific use cases • Strong system design skills and ability to build scalable, reliable AI systems • Experience working with large-scale data systems such as pipelines, warehouses, or streaming • Ability to operate in ambiguity and drive technical direction independently • Strong product mindset focused on customer impact • Experience with real-time or event-driven systems • Background in speech, NLP, or conversational AI • Experience building customer-facing AI products • Familiarity with modern data platforms such as BigQuery or ClickHouse • Experience building AI systems on top of scalable data platforms

🏖️ Benefits

• Health insurance • Remote work options