Staff Engineer, Generative AI Engineer

Company Description We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience: 5.5 + years , with strong recent experience in AI/GenAI engineering . Strong hands-on experience with Python and production-grade AI/GenAI application development. Must-have expertise in FastAPI for developing scalable, secure, and production-ready APIs. Strong experience with LLMs, Prompt Engineering, RAG, Vector Databases, and Embeddings . Hands-on experience designing and developing enterprise AI agents, conversational AI, and Agentic AI solutions . Strong experience building RAG pipelines , including document processing, chunking, embeddings, vector search, retrieval, grounding, and response generation. Strong knowledge of Vector Databases and embedding technologies , with experience optimizing retrieval and relevance. Hands-on experience with LangGraph, CrewAI, Temporal , or similar agent orchestration frameworks. Experience integrating AI agents with enterprise applications using REST APIs, MCP, and A2A protocols . Good understanding of Azure OpenAI, AWS Bedrock, or other enterprise LLM platforms . Experience with Docker, Kubernetes, CI/CD, Azure DevOps, Argo CD, and GitOps practices. Strong understanding of AI security, OAuth2/JWT, Responsible AI guardrails, governance, and enterprise application security . Experience with AI evaluation, observability, monitoring, logging, and tracing , using tools such as LangSmith, OpenTelemetry, or Elasticsearch. Good-to-have experience with Semantic Kernel, AWS Bedrock AgentCore , and enterprise AI governance. Strong analytical, problem-solving, stakehold