Staff Applied AI Engineer

About Orum

Orum’s AI-powered suite frees salespeople to do what they do best: connect, listen, and sell. Our products give sales teams everything they need to connect faster, sell smarter, and grow revenue. From intelligent dialing and real-time conversation insights to AI-driven coaching and virtual sales floors, Orum is powering thousands of sales teams to have more meaningful conversations and turn every call into measurable impact.

What You'll Do

• 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

What You'll Work On

• AI-driven coaching and insights from call transcripts
• Real-time intelligence during calls, such as next best action and signals
• Prospect enrichment and intelligent data augmentation
• Internal AI tools to improve engineering and product velocity

What We're Looking For

• 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

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 modern data platforms such as BigQuery or ClickHouse
• Experience building AI systems on top of scalable data platforms