AI Product Engineer

Responsibilities:

• Product Strategy and Ownership: Own the end-to-end product lifecycle, including product vision, roadmap, prioritization, requirements, execution, launch, and continuous improvement of AI-powered products.
• AI Product Development: Identify and develop practical AI use cases using LLMs, prompt engineering, AI agents, RAG, conversational AI, and AI workflows to solve customer and business problems.
• Enterprise and Client Engagement: Work closely with enterprise customers and clients to understand their business requirements, identify AI opportunities, translate needs into product solutions, and drive successful AI deployment and adoption.
• Cross-functional and Stakeholder Management: Collaborate with Engineering, AI/ML, Data Science, Sales, Customer Success, and Leadership teams to define requirements, manage priorities, resolve dependencies, and ensure timely product delivery.
• Product Performance and Impact: Track product adoption, customer feedback, engagement, and business metrics; use data-driven insights to optimize AI solutions and deliver measurable improvements in customer and business outcomes.

Requirements:

• Key Skills: AI/GenAI Product Management, LLMs, Prompt Engineering, AI Agents, RAG, Conversational AI, Enterprise AI Deployment, Stakeholder Management, Client Management, Product Strategy, Roadmapping, Data-driven Decision Making.