Staff Applied AI Engineer
Remote · San Francisco, California, United States
Job Summary
Lead the design and delivery of AI-powered product features from idea to production; build LLM-based coaching insights and real-time recommendations during calls; architect low-latency and 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 to support AI use cases; establish evaluation, monitoring, and feedback loops to improve model performance; mentor engineers to raise the bar on applied AI engineering practices. Core focus on AI-driven coaching and insights from call transcripts, real-time intelligence during calls, and intelligence-enabled data augmentation; preferred experience with NLP/speech, real-time systems, and modern data platforms.
Required Qualifications
- 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
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