Senior Forward Deployed Engineer: Enterprise AI Agents (Gemini)

Qualis1 Inc.; Texas; Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Qualis1 Inc. seeks a Senior Forward Deployed Engineer to design, develop, and deploy production-grade enterprise AI agents using Gemini Enterprise, Agentic AI and Google Cloud.

You will build orchestration workflows, integrate agents with enterprise systems, and deliver tangible GenAI solutions for large customers. The role emphasizes hands-on Python development, customer-facing delivery, and end-to-end responsibility from PoC to production, including RAG grounding, embeddings and vector search,

Formación

• Hands-on design, development, integration and deployment of enterprise AI agents using Gemini Enterprise, Agentic AI, Google Cloud and Python.
• 10–15+ years of experience creating production-grade AI solutions for enterprise customers.
• Proven ability to deliver customer-facing AI projects from PoC to production in complex environments.

Responsabilidades

• Build agent orchestration workflows using MCP, A2A, tool calling, and function calling.
• Integrate AI agents with enterprise apps, APIs, databases and knowledge bases.
• Develop enterprise RAG solutions with grounding, embeddings and vector search.
• Deploy and operate AI agents via Cloud Run, Agent Runtime and CI/CD pipelines.
• Implement security, governance, monitoring and agent evaluation frameworks.

Conocimientos

Python

Google Cloud

Gemini Enterprise

Agentic AI

GenAI/LLMs

Embeddings

Vector Search

LangChain

CI/CD

Customer-facing delivery

Herramientas

MCP

A2A

Vertex AI

Cloud Run

Descripción del empleo

Qualis1 Inc. seeks a Senior Forward Deployed Engineer to design, develop, and deploy production-grade enterprise AI agents using Gemini Enterprise, Agentic AI and Google Cloud.

You will build orchestration workflows, integrate agents with enterprise systems, and deliver tangible GenAI solutions for large customers. The role emphasizes hands-on Python development, customer-facing delivery, and end-to-end responsibility from PoC to production, including RAG grounding, embeddings and vector search,