GenAI Forward Deployed Engineer (FDE)

Tasks

• Build and deploy production-grade GenAI and Agentic AI solutions, including multi-agent workflows and MCP servers.
• Develop integrations between Google Cloud AI, Gemini, Dialogflow CX, Customer Engagement Suite (CES), and Contact Center AI (CCAI) and enterprise systems.
• Build scalable RAG pipelines, vector database integrations, and structured/unstructured data workflows.
• Develop AI evaluation pipelines, observability frameworks, and tracing mechanisms to improve accuracy, safety, latency, and cost.
• Lead customer-facing technical discovery sessions and collaborate directly with customer engineering teams.
• Convert real-world implementation challenges into reusable components and product improvement recommendations.

Requirements

• 5+ years of hands-on software development experience using Python
• Google Cloud Platform (GCP) and cloud-based AI architecture
• Generative AI, LLMs, RAG, and Vector Databases
• Production deployment of AI-driven enterprise solutions
• Google Conversational AI: Dialogflow CX, Gemini-powered CX, CES, and CCAI
• Customer-facing technical discovery and solution implementation
• API integrations, enterprise data pipelines, and security integration
• Preferred: Experience with LangGraph, CrewAI, Google ADK, and multi-agent frameworks
• Preferred: Knowledge of MCP servers, ReAct, self-reflection, and hierarchical agent delegation
• Preferred: Experience with voice AI, Agent Assist, CX Agent Studio, and CCaaS
• Preferred: Understanding of LLM observability, token usage, latency optimization, and cost-per-reques

Location

• San Jose, CA