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

Responsibilities

• 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

Benefits

• Opportunities to define and shape the AI strategy and execution
• Potential to unlock value from existing data for product innovation
• A chance to make a significant impact across multiple teams and domains