Senior Forward Deployed Engineer (Gemini Enterprise)
Core
Senior AI Engineer embedded with clients to design, build, and deploy end-to-end AI products using the Google Gemini Enterprise stack, including agentic systems, RAG pipelines, and full-stack applications.
Role type
Senior IC Full-Stack AI Engineer (Gemini Enterprise)
Builds
Conversational applications, multi-step agents, retrieval pipelines, and production-grade AI systems for enterprise clients.
Domain
Enterprise AI, Consulting, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, TypeScript/JavaScript, React, Google Gemini Enterprise, Vertex AI, RAG, agentic frameworks (ADK/LangGraph), GCP, API development, data pipelines
Preferred skills
MCP servers, Terraform, LLM evaluation tooling, Azure/AWS
Technologies
Gemini, Vertex AI, ADK, React, TypeScript, Python, GCP, BigQuery, MCP, LangGraph, LangChain
Responsibilities
Build full-stack AI applications from interface to infrastructure; Design and configure Gemini Enterprise agents and sandboxes; Implement RAG pipelines with vector/hybrid search; Write evaluation suites and monitor production metrics; Communicate technical trade-offs to clients; Mentor junior engineers.
Seniority
Senior, hands-on IC
