AI Product Engineer

Build AI Products, Not Just Models

• Design and develop GenAI-powered applications using LLMs, RAG, and agentic workflows
• Translate business problems into measurable AI-driven outcomes
• Define evaluation metrics and product success criteria

Engineer Intelligent Systems at Scale

• Build and optimize retrieval-augmented generation (RAG) pipelines
• Develop agent-based AI systems with tool usage and orchestration
• Deploy solutions on cloud-native architectures (Azure preferred)

Own the AI Lifecycle (GenAI Ops)

• Implement prompt engineering strategies, embeddings, and fine-tuning approaches
• Build evaluation frameworks and guardrails for reliability and safety
• Enable continuous monitoring of quality, latency, and cost

Drive Responsible & Secure AI

• Embed responsible AI practices (bias detection, explainability, moderation)
• Ensure data privacy, governance, and compliance standards
• Build systems aligned with enterprise security and trust principles

Collaborate & influence

• Partner with product, data, and engineering teams to prioritize AI features
• Influence enterprise AI architecture and best practices
• Enable teams through reusable AI components and APIs