Senior AI Engineer

Core Skills: 7+ years of experience with Python, with deep expertise in asynchronous programming and building scalable APIs (FastAPI/Flask). Agentic Frameworks: Proven track record of shipping production-grade applications using LangGraph GCP Ecosystem: Expert-level experience with Vertex AI, including Model Garden, Vertex AI Search & Conversation, and deploying models via Vertex Endpoints. LLM Expertise: Deep understanding of Gemini capabilities (function calling, multimodal input, long-context window management). Vector Infrastructure: Hands-on experience with Vertex AI Vector Search (formerly Matching Engine) or similar databases like Pinecone/Weaviate. Engineering Excellence: Strong grasp of CI/CD for AI, containerization (Docker/GKE), and "eval-driven development" to measure agent accuracy. Experience with Model Context Protocol (MCP) for standardized tool-calling. Familiarity with alternative agent frameworks like CrewAI or Semantic Kernel. Contributions to open-source AI libraries or a strong portfolio of agentic research projects.

Created: 2026-02-25