Lead - Development - AI Engineer

Role Overview: You are seeking a Lead/Staff AI Engineer to build agentified platforms, GenAI applications, and APIs at enterprise scale. This role emphasizes AI/ML technical excellence and hands-on development of intelligent systems and applications. Key Responsibilities: - Design and develop enterprise-scale agentified platforms, GenAI applications, and APIs using state-of-the-art GenAI technologies. - Build intelligent agents for use cases like customer service, appointment optimization, inventory management, marketing automation, data lineage/quality, and observability. - Drive AI/ML architectural decisions and define technical standards for AI system development. - Create scalable APIs for AI services, ensuring enterprise-grade reliability and performance. - Optimize AI system cost, latency, and scalability. - Research, prototype, and adopt emerging AI/ML technologies for the wellness industry. - Mentor engineering teams on AI/ML best practices and agent development. Required Experience & Skills: - 7+ years in software development with a full-stack engineering background. - 23+ years in AI/ML engineering, GenAI app development, and multi-agent design. - Proven experience in deploying AI/ML models and agent systems at scale. Core AI/ML Expertise: - Agent Frameworks: LangChain, LangGraph, AutoGen, CrewAI, OpenAI Assistants API, Semantic Kernel, or custom architectures. - GenAI Platforms: OpenAI GPT, Anthropic Claude, Azure OpenAI, Google Gemini. - Agent Development: Multi-agent systems, workflow automation, task coordination, Claude Code Agent workflows. - Python AI Stack: TensorFlow, PyTorch, FastAPI, pandas, numpy. - Vector Databases & RAG: Pinecone, Weaviate, ChromaDB. - Prompt/Context Engineering: Advanced techniques for optimizing agent behavior and model performance. - Cloud Integration: AWS Bedrock, Azure AI Services, .NET/C#, SQL databases. Agent Development & AI Engineering (Critical Skills): - Multi-agent systems: coordination, task distribution, and collaboration. - Conversational AI: chatbot development, dialogue management, context preservation. - RAG systems: retrieval-augmented generation for knowledge-based applications. - AI safety & governance: implementing guardrails, content filtering, and responsible AI practices. - Performance engineering: latency optimization, caching, cost management at scale. AI Development Tools: - Hands-on with Claude Code Agent, Cursor IDE, GitHub Copilot, or similar AI development tools. - Experience with AI-assisted development workflows, debugging, optimization, and system documentation. Impact & Growth: - Build AI solutions serving 30,000+ businesses across 50+ countries. - Develop intelligent systems that process millions of customer interactions. - Pioneer AI applications in beauty/wellness operations and customer experience. - Mentor and influence engineering teams in AI/ML adoption. - Shape the future of AI-powered business management platforms.,