Senior AI Product Engineer

Key Responsibilities

• AI Feature Delivery & Integration
  • Lead the end-to-end development of AI-powered features, from initial prototyping to production deployment.
  • Integrate LLMs and ML models into existing web/mobile applications and backend APIs.
  • Design "AI-first" user journeys, ensuring features like autocomplete, summarization, and intelligent search are intuitive and high-performing.
• Prompt Engineering & Agentic Workflows
  • Craft, test, and optimize complex system prompts to ensure high-quality, safe, and consistent model outputs.
  • Build and manage Agentic workflows (using frameworks like LangChain, CrewAI, or AutoGen) to automate multi-step business processes.
  • Implement robust error-handling and "fallback" logic for non-deterministic AI responses to maintain a seamless UX.
• Squad Collaboration (The "Product" Side)
  • Act as the AI subject matter expert within your Product Squad, helping PMs understand what is technically feasible vs. what is "AI hype."
  • Work closely with UX/UI designers to handle AI-specific design challenges (e.g., streaming text latency, "thinking" states, and user feedback loops).
  • Participate in agile ceremonies, contributing to grooming, planning, and rapid iteration.
• Hybrid Implementation
  • Develop applications that can switch seamlessly between Cloud APIs (for speed/innovation) and On-Premises models (for data privacy and cost-efficiency).
  • Ensure that AI features are performant across different hosting environments without sacrificing user experience.